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X-WR-CALNAME:Institute of Biomedical Engineering (BME)
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X-WR-CALDESC:Events for Institute of Biomedical Engineering (BME)
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TZID:America/Toronto
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
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DTSTART:20210314T070000
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221130T123000
DTEND;TZID=America/Toronto:20221130T130000
DTSTAMP:20221129T192229Z
CREATED:20220830T170739Z
LAST-MODIFIED:20221129T192229Z
UID:10000081-1669811400-1669813200@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Srdjan Sumarac
DESCRIPTION:Graduate Seminar Series: Clinical Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Machine learning approach for predicting severity of symptoms in Parkinson’s disease from intraoperative single-neuron recordings\nAbstract: We hypothesized that pathophysiologically-relevant information about the symptoms of Parkinson’s disease may be directly encoded within neurophysiological features of individual neurons in the basal ganglia. Using an extensive database of intracranial recordings acquired during awake deep brain stimulation surgery (n=225 patients)\, we calculated spiketrain features (e.g.\, firing rate\, burst index\, and spiketrain oscillations in different frequency bands) from 1614 high-quality single-neuron segments of the subthalamic nucleus\, substantia nigra pars reticulata\, or globus pallidus internus. Corresponding preoperative Unified Parkinson’s Disease Rating Scale Part III (UPDRSIII) motor scores were also amalgamated for each patient. To account for multiple observations per patient\, we used linear mixed models (LMM) to study the relationships between spiketrain features and UPDRSIII scores. We also trained a light gradient boosting machine (LightGBM) regressor combined with mixed effects random forests (MERF) to predict the severity of patients’ parkinsonian symptoms using a combination of features. Our machine learning framework could accurately predict patients’ total UPDRSIII scores across various symptoms and disease subtypes. Our feature importance analysis also revealed that synchronization coding generally had a higher impact on model prediction than rate coding. Overall\, our findings suggest that the activity of individual neurons contains valuable information about parkinsonian symptom severity.\nSupervisor Name: Luka Milosevic\, Milos R Popovic\nYear of Study: 2\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-clinical-stream-srdjan-sumarac/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221130T120000
DTEND;TZID=America/Toronto:20221130T123000
DTSTAMP:20221129T192229Z
CREATED:20220824T165254Z
LAST-MODIFIED:20221129T192229Z
UID:10000056-1669809600-1669811400@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Andrew Effat
DESCRIPTION:Graduate Seminar Series: Clinical Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Combined photothermal therapy\nAbstract: Lung cancer remains the leading cause of cancer death among Canadians and continues to place a heavy cost on the health care system. Screening programs have significantly increased early-stage detection; this has been key in reducing mortality\, and in driving the need for innovation in minimally invasive treatment methods. Photodynamic Therapy (PDT) and Photothermal Therapy (PTT) are novel treatment modalities that may fill that need. PDT relies on the interaction of light with a cancer targeting particle to create reactive molecular species which damage vital structures required for cell survival. PTT generates heat in tissue through light absorption\, which results in protein unfolding and eventually\, cell death. In isolation\, their efficacy is limited based on application. A combination of the two treatments is garnering interest due to the potential for synergistic effects. In this project\, we are working towards developing a treatment protocol for this combination therapy.\nSupervisor Name: Dr. Yasufuku & Dr. Weersink\nYear of Study: 2\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-clinical-stream-andrew-effat/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221125T123000
DTEND;TZID=America/Toronto:20221125T130000
DTSTAMP:20221124T192232Z
CREATED:20220824T165251Z
LAST-MODIFIED:20221124T192232Z
UID:10000055-1669379400-1669381200@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Molecular Stream - Aaron Troy
DESCRIPTION:Graduate Seminar Series: Molecular Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for molecular stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Exploring metabolic remodeling in heart failure with preserved ejection fraction\nAbstract: TBD\nSupervisor Name: Hai-Ling Margaret Cheng\, Phyllis Billia\nYear of Study: 3\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-molecular-stream-aaron-troy/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221125T120000
DTEND;TZID=America/Toronto:20221125T123000
DTSTAMP:20221124T192231Z
CREATED:20220827T170739Z
LAST-MODIFIED:20221124T192231Z
UID:10000071-1669377600-1669379400@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Molecular Stream - Angelico Obille
DESCRIPTION:Graduate Seminar Series: Molecular Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for molecular stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Identification and Characterization of a Freshwater Mussel Adhesive Protein\nAbstract: TBD\nSupervisor Name: Angelico Obille\nYear of Study: 5\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-molecular-stream-angelico-obille/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221124T123000
DTEND;TZID=America/Toronto:20221124T130000
DTSTAMP:20221123T192238Z
CREATED:20221001T213822Z
LAST-MODIFIED:20221123T192238Z
UID:10000138-1669293000-1669294800@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Cell and Tissue Stream - Doris Adao
DESCRIPTION:Graduate Seminar Series: Cell and Tissue Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for cell and tissue stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: The role of microRNAs in hypertrophic cardiomyopathy\nAbstract: Hypertrophic cardiomyopathy (HCM) is a genetic disease involving hypertrophy or thickening of the heart muscle\, and is the leading cause of sudden cardiac death among young adults and athletes. Mutations in genes encoding for cardiac structural proteins such as myosin binding protein C (MYBPC3) and myosin heavy chain (MYH7) have been identified as the cause of this condition\, but the mechanisms by which cardiomyocytes (CMs) undergo hypertrophy in response to these mutations is unclear. MicroRNAs (miRNAs) are one of the factors that could influence CM hypertrophy because of their ability to regulate gene expression\, but the role of miRNAs in HCM progression remains elusive. Because of their ability to control gene expression of various factors\, miRNAs could be a key target in regulating disease states such as HCM. The objective of my project is to identify and target differentially expressed miRNAs between healthy and HCM states in order to mitigate the progression of cardiomyocyte hypertrophy. The use of induced pluripotent stem cells (iPSCs) could allow us to investigate miRNAs in HCM\, but most studies lack human tissue validation to ensure findings from iPSC models are accurate and representative of disease states. With no specific treatment options\, investigating the role of miRNAs could allow a new set of therapeutics to improve disease management and outcomes for patients with HCM.\nSupervisor Name: Dr. Phyllis Billia; Prof. Craig Simmons\nYear of Study: 3\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-cell-and-tissue-stream-doris-adao/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221124T120000
DTEND;TZID=America/Toronto:20221124T123000
DTSTAMP:20221123T192238Z
CREATED:20220902T172310Z
LAST-MODIFIED:20221123T192238Z
UID:10000091-1669291200-1669293000@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Cell and Tissue Stream - Amber Xue
DESCRIPTION:Graduate Seminar Series: Cell and Tissue Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for cell and tissue stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: TBD\nAbstract:\n160 College St\n530\nSupervisor Name: Molly Shoichet\nYear of Study: 4\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-cell-and-tissue-stream-amber-xue/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221118T120000
DTEND;TZID=America/Toronto:20221118T123000
DTSTAMP:20221117T205253Z
CREATED:20221029T030419Z
LAST-MODIFIED:20221117T205253Z
UID:10000152-1668772800-1668774600@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Molecular Stream - Yufeng Wang
DESCRIPTION:Graduate Seminar Series: Molecular Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for molecular stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Design of an Islet-on-a-Chip Device to Dynamically Measure Insulin Secretion from Individual Islets\nAbstract: Glucose-stimulated insulin secretion (GSIS) from pancreatic islets shows a biphasic pattern. Investigation of temporal dynamics and patterns of GSIS could give insights into mechanisms underlying β-cell function and dysfunction. Here\, we present a novel microfluidic device to detect insulin secretion from individual islets on-chip through miniaturizing a fluorescence anisotropy immunoassay (FAIA). Insulin is co-secreted with c-peptide within ~5-10 min of glucose stimulation. Here we designed a c-peptide sensor with a fluorophore tagged to a synthetic c-peptide fragment and optimized assay parameters to maximize the sensitivity of the FAIA. Subsequently\, a continuous-flow method was applied to monitor reaction kinetics to determine the equilibrium time of the assay. Using the maximum time required to reach equilibrium\, we designed an islet-on-a-chip that captures the islet effluent and sufficiently mixes it with the reagents within the ~100 s residence time. This assay is downstream of the islet and leaves an ideal optical window to simultaneously image islet responses (e.g.\, Ca2+ activity). Ultimately\, this device was used to measure c-peptide secretion from 4 individual mouse pancreatic islets simultaneously. The secretion detected on-chip shows the characteristic biphasic pattern and was further validated with pharmacological activators (ex. tolbutamide) for insulin secretion. In the future\, the islet-on-a-chip could be coupled with other sensors\, such as Ca2+ and oxygen consumption rate sensors to further probe β-cell metabolism.\nSupervisor Name: Dr. Jonathan Rocheleau\nYear of Study: 4\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-molecular-stream-yufeng-wang/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221116T123000
DTEND;TZID=America/Toronto:20221116T130000
DTSTAMP:20221112T203802Z
CREATED:20220927T213832Z
LAST-MODIFIED:20221112T203802Z
UID:10000130-1668601800-1668603600@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Reza Basiri
DESCRIPTION:Graduate Seminar Series: Clinical Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Diabetic Foot Ulcer Detection and Classification\nAbstract: Diabetic Foot Ulcers (DFUs) are deliberating wounds that can result in amputation and lower the quality of life. Automatic detection and classification of these wounds are crucial for at-home therapy and expanding high-quality care. In this project\, we are developing an autonomous deep learning platform to detect and classify DFUs using multi-modal networks.\nSupervisor Name: Dr. Milos Popovic\nYear of Study: 4\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-clinical-stream-reza-basiri/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221116T123000
DTEND;TZID=America/Toronto:20221116T130000
DTSTAMP:20220829T170757Z
CREATED:20220829T170757Z
LAST-MODIFIED:20220829T170757Z
UID:10000076-1668601800-1668603600@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Aisha Raji
DESCRIPTION:Graduate Seminar Series: Clinical Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Feasibility of a Collaborative Robot for Retraining Reaching and Grasping Functions in Stroke and Spinal Cord Injury\nAbstract:\nStroke and spinal cord injury (SCI) are causes of neurological disability that prominently affect the upper extremity. Across all ages\, these disabilities negatively impact an individual’s quality of life\, increase independence\, and has an enormous financial implication on both the individuals and the economy.\nRehabilitation is crucial in reducing morbidity and improving functional independence. Robot-assisted therapy (RT) is one of the strategies used to assist individuals within these populations in restoring their lost hand function. However\, there is presently no evidence that robot-assisted therapy alone is superior to existing conventional therapies. Our goal is to develop a new application for using robots to retrain reaching and grasping functions of the upper extremity among individuals with stroke and SCI. For this purpose\, the UR5e collaborative robot will be used alongside objects in the Toronto Rehabilitation Institute – Hand Function Test (TRI-HFT) to assist individuals perform various activities of daily living and to see if this approach will be efficient in making robot-assisted therapy more effective than other conventional therapies for upper extremity rehabilitation.\nSupervisor Name: Dr. Milos Popovic and Dr. Cesar Marquez-Chin\nYear of Study: 2\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-clinical-stream-aisha-raji-3/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221116T120000
DTEND;TZID=America/Toronto:20221116T123000
DTSTAMP:20221112T203802Z
CREATED:20220909T180736Z
LAST-MODIFIED:20221112T203802Z
UID:10000102-1668600000-1668601800@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Stefanie Bradley
DESCRIPTION:Graduate Seminar Series: Clinical Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Quantifying the neural\, muscular\, and functional gait changes following exoskeleton-powered gait rehabilitation in children with CP and other mobility impairments\nAbstract: Non-ambulatory children with cerebral palsy (CP) and similar childhood-onset neuromotor conditions face many challenges to fulsome participation in everyday life. Recent initial phase research suggests that physiotherapy paired with use of robotic exoskeletons\, such as the Trexo robotic exoskeleton (“The Trexo”; Trexo Robotics\, Canada) provides a novel opportunity for children with severe mobility challenges to experience active walking that is individualized to their movement potential (guiding and powering leg movements) and upright support needs. This before-and-after study is assessing the first-time experience of 12 non-ambulatory children (ages 4-6) using the exoskeleton for 6 weeks of twice weekly physiotherapy sessions\, and evaluate associated brain\, muscle and functional outcomes including accomplishment of individualized goals. To study clinical feasibility\, we are simultaneously capturing physiotherapists’ (PTs) and PT assistants’ (PTAs) training/learning/user experiences with the exoskeleton’s first time use within our center’s out-patient program and on-site affiliated school.\nSupervisor Name: Dr. Tom Chau\nYear of Study: 2\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-clinical-stream-stefanie-bradley-2/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221110T120000
DTEND;TZID=America/Toronto:20221110T130000
DTSTAMP:20220714T162325Z
CREATED:20220704T182652Z
LAST-MODIFIED:20220714T162325Z
UID:10000040-1668081600-1668085200@bme.utoronto.ca
SUMMARY:Global Speaker Series: Martin Fussenegger\, PhD – ETH Zurich
DESCRIPTION:The Medicine by Design Global Speaker Series invites established and emerging international leaders in regenerative medicine to engage with our extraordinary community of researchers and clinicians.\nMedicine by Design\, in partnership with the McEwen Stem Cell Institute\, is pleased to welcome Martin Fussenegger\, PhD\, Professor\, Department of Biosystems Science and Engineering\, ETH Zurich.\nThe title of this talk will be\, tbc\nIn Person – Register Here\nVirtual – Register Here\nHybrid event\, with in-person and virtual options\nIn-person will be held at the Terrence Donnelly Centre for Cellular & Biomolecular Research\, Red Room.\nVirtual event links will be sent after registration.\n Learn more about Martin Fussenegger
URL:https://bme.utoronto.ca/event/global-speaker-series-martin-fussenegger-phd-eth-zurich/
LOCATION:Donnelly Centre for Cellular and Biomolecular Research\, Red Room\, 160 College Street\, Toronto\, Ontario\, M5S 3E1\, Canada
CATEGORIES:External Speaker Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221109T123000
DTEND;TZID=America/Toronto:20221109T130000
DTSTAMP:20221108T203736Z
CREATED:20220829T170756Z
LAST-MODIFIED:20221108T203736Z
UID:10000074-1667997000-1667998800@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Aisha Raji
DESCRIPTION:Graduate Seminar Series: Clinical Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Feasibility of a Collaborative Robot for Retraining Reaching and Grasping Functions in Stroke and Spinal Cord Injury\nAbstract:\nStroke and spinal cord injury (SCI) are causes of neurological disability that prominently affect the upper extremity. Across all ages\, these disabilities negatively impact an individual’s quality of life\, increase independence\, and has an enormous financial implication on both the individuals and the economy.\nRehabilitation is crucial in reducing morbidity and improving functional independence. Robot-assisted therapy (RT) is one of the strategies used to assist individuals within these populations in restoring their lost hand function. However\, there is presently no evidence that robot-assisted therapy alone is superior to existing conventional therapies. Our goal is to develop a new application for using robots to retrain reaching and grasping functions of the upper extremity among individuals with stroke and SCI. For this purpose\, the UR5e collaborative robot will be used alongside objects in the Toronto Rehabilitation Institute – Hand Function Test (TRI-HFT) to assist individuals perform various activities of daily living and to see if this approach will be efficient in making robot-assisted therapy more effective than other conventional therapies for upper extremity rehabilitation.\nSupervisor Name: Dr. Milos Popovic and Dr. Cesar Marquez-Chin\nYear of Study: 2\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-clinical-stream-aisha-raji/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221109T120000
DTEND;TZID=America/Toronto:20221109T123000
DTSTAMP:20221108T203736Z
CREATED:20221017T220745Z
LAST-MODIFIED:20221108T203736Z
UID:10000148-1667995200-1667997000@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Ali Barzegar Khanghah
DESCRIPTION:Graduate Seminar Series: Clinical Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: A Novel Automatic Tele-Rehabilitation System Using Vision Technology\nAbstract:\nBackground: Tele-rehabilitation has the potential to considerably change the way patients are monitored from their homes during the care process by providing equitable access without the need to travel to rehab centers or the high cost of personal in-home services. Developing a tele-rehab platform with the capability to automate exercise guidance and support efficient communication with the therapists will have a significant impact on rehabilitation outcomes of aging population. Our goal is to design and validate a biofeedback system to identify the quality of performed exercises and inform the patients to refine their movements to get the most out of their plan of care.\nMethods: Various datasets were reviewed and Miron et al.  dataset including depth videos was selected. This data was collected from 30 participants performing 9 different rehabilitation exercises. Each exercise was labeled as “Correctly” or “Incorrectly” executed by a clinician. We have used a pre-trained 3D Convolution Neural Network (3D-CNN) to design our biofeedback system.\nResults: The proposed biofeedback system achieved an average accuracy of 91.05% and an average F1-Score of 64.20% using Leave-One-Subject-Out cross-validation.\nConclusion: The proposed 3D-CNN was able to classify the rehabilitation videos and feedback on the quality of exercises to the users to help them modify their movement patterns. We are expanding our platform to also extract other features such as the inter-relationships of the various body parts; muscles and their coordination to enable the therapist better to understand the rehab exercises\, remotely.\n A. Miron\, N. Sadawi\, W. Ismail\, H. Hussain\, and C. Grosan\, “Intellirehabds (Irds)—a dataset of physical rehabilitation movements\,” Data\, vol. 6\, no. 5\, pp. 1–13\, 2021\, doi: 10.3390/DATA6050046.\nSupervisor Name: Dr. Atena Roshan Fekr\, Professor Geoff Fernie\nYear of Study: 2\nProgram of Study: MASc\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-clinical-stream-ali-barzegar-khanghah-2/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221108T120000
DTEND;TZID=America/Toronto:20221108T130000
DTSTAMP:20221102T202000Z
CREATED:20220512T152126Z
LAST-MODIFIED:20221102T202000Z
UID:10000018-1667908800-1667912400@bme.utoronto.ca
SUMMARY:NRC+CRAFT Speaker - Invited Academic Seminar Series - Ankur Singh - Lymphoid Organoids and Multiscale Technologies for Untangling Immunity in Infectious Diseases and Cancers (Hybrid Delivery)
DESCRIPTION:Speaker\nAnkur Singh\nWoodruff Faculty Fellow and Associate Professor\nGeorge W. Woodruff School of Mechanical Engineering\nWallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University School of Medicine \n\nAbstract\nFor many life-threatening global infectious diseases\, effective vaccinations are still lacking. There are numerous challenges in understanding disease transmission\, and pathology\, and developing new vaccines\, including a limited understanding of immune correlates of protection\, identification of viable vaccine candidates\, and off-target effects that must be evaluated in staged clinical trials. To generate these antibodies\, B cells are activated by T cells to form germinal centers\, which are sub-anatomical structures in the B cell follicles of lymph nodes. In germinal centers\, B cells rapidly proliferate and mutate to form somatically mutated high-affinity antibody-secreting cells. In this talk\, I will discuss my laboratory’s effort in developing murine and human ex vivo immune organoids using cells from individuals to generate antibody-secreting cells in a dish or as organ-on-chip against viral infections and antibiotic-resistant bacteria. I will subsequently describe designer bio-adhesive hydrogels and lymphatic-mimicking technologies for understanding the role of the lymphoid microenvironment in genetically diverse lymphomas and potential causes of drug resistance. \nBio: Ankur Singh is a Woodruff Faculty Fellow and an Associate Professor with a joint appointment in George W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology and Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. Before Georgia Tech\, he was a tenured Associate Professor at Cornell University. His laboratory develops immune organoids and enabling technologies to understand healthy and diseased immune cells and translate therapeutics. He has received funding from the National Institute of Health\, National Science Foundation\, Wellcome Leap HOPE\, Department of Defense\, Defense Threat Reduction Agency\, the Curci Foundation\, and Lymphoma and Leukemia Society. He has published >65 articles in peer-reviewed journals\, including Nature Methods\, Nature Materials\, Nature Nanotechnology\, Nature Immunology\, Nature Communications\, Nature Reviews Materials\, Nature Protocols\, Science Advances\, Cell Reports\, PNAS\, Blood\, and Advanced Materials. He has written multiple editorials for Science Translational Medicine. He is a recipient of the NSF CAREER\, Society for Biomaterials Young Investigator Award\, CMBE Young Innovator Award\, CMBE Rising Star Award\, 3M Faculty Award\, DoD Career award\, Cornell’s Teaching Excellence Award\, and Cornell’s Research Excellence Award. His immune organoids were identified among the Top 100 Discoveries of 2015 by Discover Magazine. He is the Founder and past Chair of the Immune Engineering SIG at the Society for Biomaterials and Controlled Release Society. He currently serves as the Associate Editor for Science Advances\, Biomaterials\, and Cellular and Molecular Bioengineering.  \n\nHost\nMilica Radisic
URL:https://bme.utoronto.ca/event/invited-academic-seminar-series-ankur-singh/
LOCATION:Donnelly Centre for Cellular and Biomolecular Research\, Red Room\, 160 College Street\, Toronto\, Ontario\, M5S 3E1\, Canada
ATTACH;FMTTYPE=image/jpeg:https://bme.utoronto.ca/wp-content/uploads/2022/05/ASINGH-768x1024-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221108T110000
DTEND;TZID=America/Toronto:20221108T120000
DTSTAMP:20221005T183432Z
CREATED:20221005T183053Z
LAST-MODIFIED:20221005T183432Z
UID:10000142-1667905200-1667908800@bme.utoronto.ca
SUMMARY:TBEP Research Seminar: Cardiovascular tissue engineering with thermoplastic elastomers
DESCRIPTION:
URL:https://bme.utoronto.ca/event/tbep-research-seminar-cardiovascular-tissue-engineering-with-thermoplastic-elastomers/
LOCATION:661 University Ave. 14th Floor Lounge\, 661 University Ave. 14th Floor Lounge
CATEGORIES:Events & Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221102T120000
DTEND;TZID=America/Toronto:20221102T123000
DTSTAMP:20221101T203731Z
CREATED:20220828T170755Z
LAST-MODIFIED:20221101T203731Z
UID:10000072-1667390400-1667392200@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Pratik Kumar Mishra
DESCRIPTION:Graduate Seminar Series: Clinical Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Automatic Detection of Behaviours of Risk in People with Dementia using Unsupervised Deep Learning\nAbstract: Behavioural symptoms of dementia present a significant risk within long-term care homes. Due to limited staffing resources\, supporting residents and monitoring their safety becomes more challenging. Many long-term care facilities have video surveillance systems installed in common areas to help staff observe residents; however\, the videos are not always monitored by staff. The videos contain vital information that can be used to build deep learning solutions that automatically identify clinically important behaviours of risk and alert the staff. Such an environmental monitoring system can facilitate timely intervention by staff to prevent accidents or harm to the residents and better support their care. We developed a customized spatio-temporal convolutional autoencoder that learns the characteristics of the normal video scenes and identifies the scenes with events of behaviours of risk as anomalies. To avoid privacy-related concerns associated with video data\, as they contain information related to facial identity and the overall appearance of the participants\, the participant’s identity was anonymized before being fed as input to the autoencoder by extracting only the postures or masking the appearance of the participants. We present preliminary results using video surveillance data with a single dementia participant and a single camera collected from a dementia care unit. Our approach gave an AUC of ROC of 0.808 for the best-performing privacy-protecting approach\, surpassing the performance of raw video input. This research paves the way for leveraging existing surveillance infrastructure in care homes to detect behaviours of risk in people with dementia while preserving their privacy\nSupervisor Name: Shehroz Khan\nYear of Study: 2\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-clinical-stream-pratik-kumar-mishra/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221028T120000
DTEND;TZID=America/Toronto:20221028T130000
DTSTAMP:20221005T181710Z
CREATED:20221005T181656Z
LAST-MODIFIED:20221005T181710Z
UID:10000141-1666958400-1666962000@bme.utoronto.ca
SUMMARY:Active Learning for Optimizing RNA Based Vaccines and Therapeutics
DESCRIPTION:CARTE Industry Speaker Seminar Series welcome Michael Bailey\, Computational Scientist at Sanofi Data and AI Center of Excellence in Toronto\, for the first in-person seminar of 2022-23 academic year. \nTopic: Active Learning for Optimizing RNA Based Vaccines and Therapeutics \nDate and Time: Friday October 28\, 2022 (12:00 – 1:00 PM EST) \nRegistration: To register\, please see here. Capacity is limited. Please register early to secure your spot. \n  \n \nAbstract: RNA vaccines saved the world from COVID. But vaccines are just one of several potential uses for this breakthrough technology. As the world leading vaccine manufacturer and one of the largest pharma companies\, Sanofi has recently launched its RNA Center of Excellence to lead the way in the development and use of RNAs for vaccines and therapeutics. While promising\, the use of mRNA raises several new computational challenges. These involve issues related to representation and search in the exponential space of mRNA molecules\, the design and optimization of their lipid vehicles and the ability to predict human response from non-human models. I will discuss these challenges and will also present methods we developed to address these issues. Our methods use deep language models and graph neural networks for representation and couple them with active learning approaches for optimization. By developing an experimental-computational strategy we were able to obtain more accurate RNA and lipid combinations while still reducing the time and cost to optimize vaccines for new variants. \nSpeaker Bio: Michael Bailey is a Computational Scientist at Sanofi. With a background in Mathematics (doing a Ph.D. at the University of Toronto)\, he transitioned into Machine Learning later in his career\, looking to work on real-world problems. In his current role at the new Sanofi Data and AI Center of Excellence in Toronto\, he works on Machine Learning problems to support the discovery of new therapies. \nLocation: Myhal Centre for Engineering Innovation & Entrepreneurship\, 55 St George St.\, Toronto\, Ontario\, M5S 0C9\, Room 380 \nRegistration: To register\, please see here. Capacity is limited. Please register early to secure your spot.
URL:https://bme.utoronto.ca/event/active-learning-for-optimizing-rna-based-vaccines-and-therapeutics/
LOCATION:Myhal Centre for Engineering Innovation & Entrepreneurship\, 55 St George St.\, Toronto\, Ontario\, M5S 0C9\, Room 380
CATEGORIES:Events & Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221026T120000
DTEND;TZID=America/Toronto:20221026T123000
DTSTAMP:20221025T222300Z
CREATED:20221005T215232Z
LAST-MODIFIED:20221025T222300Z
UID:10000143-1666785600-1666787400@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - saba sadatamin
DESCRIPTION:Graduate Seminar Series: Clinical Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Thermometry Prediction Using Artificial Intelligence on MR-guided Laser Interstitial Thermal Therapy Planning Images\nAbstract:\nMagnetic resonance-guided laser interstitial thermal therapy (MRgLITT) is a minimally invasive thermal therapy for drug-resistant focal epilepsy and brain tumors. In this approach\, the surgeon needs to insert the laser fiber into the target along a fixed trajectory. Thermometry prediction using artificial intelligence (AI) modeling may help the surgeon determine whether the selected laser position is the ideal location to treat the tumor before starting the surgery\, as both repositioning and predicting thermal spread close to heat sinks are difficult. I hypothesize that this data-driven approach will reduce planning time\, minimize injury to other brain regions and maximize tumor treatment probability. Specifically\, I will train artificial intelligence algorithms to model the nonlinear mapping from three-dimensional\nanatomical MRI planning images to multi-slide thermometry time series (three-dimensional). By having the patients’ anatomical MRI\, the surgeon will access the AI-based heat propagation distribution in predicted thermometry images to better choose the ideal laser position.\nSupervisor Name: Dr. James Drake\, Dr. Lueder Kahrs\nYear of Study: 2\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-clinical-stream-saba-sadatamin/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221020T110000
DTEND;TZID=America/Toronto:20221020T120000
DTSTAMP:20220929T144006Z
CREATED:20220927T195752Z
LAST-MODIFIED:20220929T144006Z
UID:10000129-1666263600-1666267200@bme.utoronto.ca
SUMMARY:TBEP Research Seminar: The role of synthetic pulse wave data in the development of technologies to assess cardiovascular function
DESCRIPTION:Jordi Alastruey\, Ph.D. \nSenior Lecturer \nSchool of Biomedical Engineering and Imaging Sciences\, King’s College London \n***This is a Zoom only event\nJordi Alastruey received the M.Sc. degree in civil engineering from the Universitat Politècnica de Catalunya\, Barcelona\, Spain\, in 2002\, and the Ph.D. degree in biomedical engineering from Imperial College London (ICL)\, London\, U.K.\, in 2006. In 2009 he was awarded a British Heart Foundation Research Fellowship; began his fellowship at ICL before moving to King’s College London in 2011\, where he is currently a Senior Lecturer with the School of Biomedical \nEngineering and Imaging Sciences. He leads the Haemodynamic Modelling Research Group which specialises in the assessment of cardiovascular function based on the analysis of pulse wave (PW) signals. These signals are influenced by the heart\, vasculature\, and respiratory and autonomic nervous systems\, making them a rich source of information to assess human health. \nHe and his colleagues develop novel models for simulating PW signals\, such as blood pressure and photoplethysmogram waves\, under a variety of physiological and pathophysiological \nconditions. They develop methods for calibrating these models and understanding the physical mechanisms underlying their results. They also investigate signal processing techniques to assess the functions of the cardiovascular\, respiratory\, and autonomic nervous systems from PW signals acquired by a variety of devices\, including wearable sensors. The seminar will focus on the simulation of PW signals using biophysical modelling and on the creation of \ndatasets of synthetic PWs representative of samples of real subjects. These datasets are a cost-effective approach for the development and pre-clinical testing of technologies to assess cardiovascular function under a wide range of physiological conditions. They also allow us to understand biophysical mechanisms underlying correlations observed from populations of real subjects and train machine-learning algorithms for PW analysis. The seminar will present the benefits of using synthetic PW datasets in the assessment of vascular ageing and arterial hypertension from PW signals.
URL:https://bme.utoronto.ca/event/tbep-research-seminar-the-role-of-synthetic-pulse-wave-data-in-the-development-of-technologies-to-assess-cardiovascular-function/
CATEGORIES:External Speaker Series
ORGANIZER;CN="Translational Biology and Engineering Program (TBEP)":MAILTO:reception.tbep@utoronto.ca
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221019T123000
DTEND;TZID=America/Toronto:20221019T130000
DTSTAMP:20221018T220743Z
CREATED:20220824T165251Z
LAST-MODIFIED:20221018T220743Z
UID:10000051-1666182600-1666184400@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Anchana Kuganesan
DESCRIPTION:Graduate Seminar Series: Clinical Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Minimizing Pedestrian Falls on Outdoor Walkways: Minimum Foot Clearance Estimation (MFCE) System\nAbstract:\nFalls are the most common cause of injury in seniors with one in three Canadian adults aged 65 years and older experiencing a fall at least once annually . Many outdoor fall-related injuries on sidewalks are caused by tripping that occurs when an individual fails to adjust their gait while negotiating obstacles and raised surfaces . An important indicator of the risk of tripping is an individual’s minimum foot clearance (MFC) . MFC refers to the instant in the swing phase of the gait cycle when the foot is closest to ground . As an individual gets older\, their mean MFC value also decreases putting them at increased risk for falls. 13% of adults in the risk population have MFC values below 6 mm yet many jurisdictions allow level changes up to 13 mm . The existing literature on MFC values are based on measurements done in the laboratory environment\, which is known to result in overestimates of 6.5–16.2% compared to real-world settings . In order to address the need for real-world MFC measurements\, new and more efficient approaches for measuring MFC are needed. Our team has recently developed the Minimum Foot Clearance Estimation (MFCE) system . The data collection module is designed to be positioned at ground level next to a walkway to efficiently collect sagittal plane videos of many pedestrians’ feet and lower legs. It consists of two video cameras (Z CAM E2) and two calibrated parallel laser beams (Galileo pro\, 5 mW\, Laserglow Technologies) positioned within the field of view of the video cameras such that they are projected onto the pedestrian’s lower leg. The videos recorded by the camera are used to track the foot trajectory of the pedestrian with an open-source software package and extract the MFC value. The known distance between the two laser beams is used to define a scale on the video image so that foot clearance distances measured in pixels on the video image can be converted to distances in millimeters. The video data collected is then processed offline using a computer vision algorithm for automatically estimating MFC values. The objective of the current project is to use the MFCE system to estimate the distribution of MFC values for the population by estimating\, collecting\, and analyzing foot clearance estimates from pedestrians on outdoor walkways. Data collection locations will include walkways that are level\, sloped\, and locations with existing level changes of differing sizes. The resulting estimated MFC values from this analysis will be plotted in a set of histograms defining the MFC distribution for pedestrians that will be used to determine the extent to which individuals adjust their foot clearances in each of the conditions evaluated. This foot clearance distribution data will contribute to developing evidence-based guidelines for outdoor walkway design and maintenance and inform other strategies for minimizing the risk of trip-related falls on outdoor walkways.\nReferences\n Pearson C\, Geran L\, St-Arnaud J. Understanding seniors’ risk of falling and their perception of risk. Statistics Canada; 2014 Oct.\n Delfi G\, Kamachi M\, Dutta T. Development of an Automated Minimum Foot Clearance Measurement System: Proof of Principle. Sensors. 2021 Jan;21(3):976.\n Rao MV\, Malini M\, Priya NS. Sensor Technologies for Foot Clearance Measurement.\n Graci V\, Elliott DB\, Buckley JG. Peripheral visual cues affect minimum-foot-clearance during overground locomotion. Gait & posture. 2009 Oct 1;30(3):370-4.\n Toronto CO. Accessibility Design Guidelines. Diversity Management and Community Engagement Corporate Policy/Healthy City Office. 2004.\n Best R\, Begg R. A method for calculating the probability of tripping while walking. Journal of biomechanics. 2008 Jan 1;41(5):1147-51.\n Scanlon JM. Comparing Gait between Outdoors and Inside a Laboratory (Doctoral dissertation\, Virginia Tech).\n Barrett RS\, Mills PM\, Begg RK. A systematic review of the effect of ageing and falls history on minimum foot clearance characteristics during level walking. Gait & posture. 2010 Oct 1;32(4):429-35.\nSupervisor Name: Dr.Tilak Dutta\nYear of Study: 2\nProgram of Study: MASc\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-clinical-stream-anchana-kuganesan/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221018T120000
DTEND;TZID=America/Toronto:20221018T130000
DTSTAMP:20220926T200729Z
CREATED:20220704T182650Z
LAST-MODIFIED:20220926T200729Z
UID:10000041-1666094400-1666098000@bme.utoronto.ca
SUMMARY:Global Speaker Series: Jacob (Yaqub) Hanna\, PhD -Weizmann Institute of Science
DESCRIPTION:The Medicine by Design Global Speaker Series invites established and emerging international leaders in regenerative medicine to engage with our extraordinary community of researchers and clinicians.\nMedicine by Design\, in partnership with the McEwen Stem Cell Institute\, is pleased to welcome Jacob (Yaqub) Hanna\, PhD\, Senior Scientist and Professor\, Department of Molecular Genetics\, Weizmann Institute of Science.\nThe title of this talk will be\, tbc\nIn Person – Register Here\nVirtual – Register Here\nHybrid event\, with in-person and virtual options\n In-person will be held at the Terrence Donnelly Centre for Cellular & Biomolecular Research\, Red Room.\n Virtual event links will be sent after registration.\n Learn more about Jacob (Yaqub) Hanna
URL:https://bme.utoronto.ca/event/global-speaker-series-jacob-yaqub-hanna-phd-weizmann-institute-of-science/
LOCATION:Donnelly Centre for Cellular and Biomolecular Research\, Red Room\, 160 College Street\, Toronto\, Ontario\, M5S 3E1\, Canada
CATEGORIES:External Speaker Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221013T150000
DTEND;TZID=America/Toronto:20221013T200000
DTSTAMP:20221005T181549Z
CREATED:20220914T192453Z
LAST-MODIFIED:20221005T181549Z
UID:10000116-1665673200-1665691200@bme.utoronto.ca
SUMMARY:ECHO Pitch 2022
DESCRIPTION:Igniting Cardiovascular Innovation\nJoin us at ECHO PITCH 2022: a special event where five start-ups in the cardiovascular health sector will compete live for up to $250\,000 \nbefore a panel of judges. All are welcome to register and be part of the live audience! \nWHEN: Thursday Oct. 13\, 2022\, 3:00-8:00 PM \nWHERE: Malaparte – TIFF Bell Lightbox (350 King St. W.\, 6th Floor\, Toronto) \nWHAT: \n\nWatch five inspiring innovators of cardiovascular technologies pitch their novel ideas.\nMeet\, connect and share ideas with exceptional entrepreneurs\, scientists\, clinicians\, business leaders and investors.\nGain insights from a multi-sectoral panel of judges as well as expert keynote speakers.\nEnjoy an afternoon of entertainment\, food and beverages.\n\nFor all the details please visit our event page – space is limited so reserve your spot soon! \nThe Entrepreneurship for Cardiovascular Health Opportunities (ECHO) program is funded and organized by the Translational Biology and \nEngineering Program\, at the University of Toronto and the Ted Rogers Centre for Heart Research\, in partnership with the Health \nInnovation Hub (H2i). For more information on the ECHO program\, please visit: https://tedrogersresearch.ca/echo
URL:https://bme.utoronto.ca/event/38795/
CATEGORIES:Events & Workshops
ATTACH;FMTTYPE=image/png:https://bme.utoronto.ca/wp-content/uploads/2022/09/thumbnail_image001.png
ORGANIZER;CN="Translational Biology and Engineering Program (TBEP)":MAILTO:reception.tbep@utoronto.ca
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221013T120000
DTEND;TZID=America/Toronto:20221013T130000
DTSTAMP:20220926T200729Z
CREATED:20220909T192453Z
LAST-MODIFIED:20220926T200729Z
UID:10000050-1665662400-1665666000@bme.utoronto.ca
SUMMARY:Beyond Academia - Betty Zou\, PhD Research and Communications Specialist\, University of Toronto and Adriana Suarez-Gonzalez\, PhD Science and Technology Advisor\, 10X Genomics
DESCRIPTION:About the series\nTo what extent can we plan and design our careers? How much depends on our environment\, the choices we make\, the opportunities that present themselves\, the networks we build\, and the achievements and failures we experience along the way? Medicine by Design and Stem Cell Network have partnered to host Careers Beyond Academia\, a virtual career seminar series that will profile a wide variety of different careers available to trainees who hold a degree in the life sciences. The goal of the series is to help trainees understand the different careers available outside of academia\, the skills required for certain positions\, and some of the daily functions of those positions.\n Virtual Event – Register Here\nSpeakers:\nBetty Zou\, PhDResearch and Communications Specialist\, University of Toronto\nAdriana Suarez-Gonzalez\, PhDScience and Technology Advisor\, 10X Genomics\nEach session will feature two speaker presentations that will be recorded and available on both Medicine by Design and Stem Cell Network’s website and YouTube channel. Trainees will be able to participate in a joint Q&A and panel discussion during the session.\n 
URL:https://bme.utoronto.ca/event/beyond-academia-betty-zou-phd-research-and-communications-specialist-university-of-toronto-and-adriana-suarez-gonzalez-phd-science-and-technology-advisor-10x-genomics/
LOCATION:Virtual
CATEGORIES:External Speaker Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221011T120000
DTEND;TZID=America/Toronto:20221011T130000
DTSTAMP:20220929T200029Z
CREATED:20220929T200029Z
LAST-MODIFIED:20220929T200029Z
UID:10000131-1665489600-1665493200@bme.utoronto.ca
SUMMARY:Compositional And Structural Gradients In Dental Enamel: From Nano- To Mesoscale
DESCRIPTION:Derk Joester\, PhD.\nAssociate Professor \nDepartment of Materials Science & Engineering Northwestern University \nEvanston\, IL\, USA \nCompositional And Structural Gradients In Dental Enamel: From Nano- To Mesoscale\nTuesday October 11\, 2022 \n12:00 pm \nBiography: Derk Joester is originally from Munich (Bavaria\, Germany) and studied Chemistry in Tübingen. He travelled to the US on a Fulbright Scholarship to study Chemistry and Biochemistry\, and then went on to get his Diploma in Organic Chemistry at ETH Zurich\, Switzerland\, in 1998. He received his Ph.D. for work carried out in organic\, supra-molecular chemistry with Prof. François Diederich at ETH Zurich in 2003\, and in the same year became a Postdoctoral Fellow at Weizmann Institute of Science in the lab of Prof. Lia Addadi in the Department of Structural Biology. From 2005-2007 he continued his research at the Weizmann Institute as a Minerva Fellow. In September 2007 he accepted a position at the Materials Science & Engineering Department at Northwestern University\, Evanston\, Illinois. In 2013\, he was promoted to Associate Professor. His research interests include biological mechanisms of crystal growth\, the role of organic/inorganic interfaces and confinement in phase transformations\, metastable precursor phases\, and the structure and properties biomineral-organic composites with hierarchical architectures. \nAbstract: Dental enamel\, the hard\, wear-resistant covering of human teeth has a hierarchical structure and composition. It is composed of hydroxylapatite crystallites\, thousands of which are bundled into rods that are organized in a three-dimensional weave. This architecture provides great fracture resistance and a much- enhanced fatigue life. It has long been known that the susceptibility of enamel to caries\, i.e. acid corrosion\, is greatly dependent on the presence of magnesium\, iron\, carbonate\, and fluoride ions. However\, imaging the distribution of these minor components in enamel has remained challenging.
URL:https://bme.utoronto.ca/event/compositional-and-structural-gradients-in-dental-enamel-from-nano-to-mesoscale/
LOCATION:Lecture Room 170 124 Edward Street\, 124 Edward Street\, Toronto
CATEGORIES:External Speaker Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221011T120000
DTEND;TZID=America/Toronto:20221011T130000
DTSTAMP:20221005T172529Z
CREATED:20220512T151429Z
LAST-MODIFIED:20221005T172529Z
UID:10000017-1665489600-1665493200@bme.utoronto.ca
SUMMARY:Invited Academic Seminar Series - Zhi Pei Liang- Ultrafast Magnetic Resonance Spectroscopic Imaging for Brain Mapping  (Virtual Delivery with an in-person streaming option)
DESCRIPTION:*** This talk will be delivered virtually\, however the presentation will be streamed in the DC Red Room for those wanting to attend ‘in-person’. Cookies and coffee will be provided for attendees. ***\n\nSpeaker\nZhi Pei Liang\nFranklin W. Woeltge Professor\nDepartment of Electrical and Computer Engineering\nUniversity of Illinois at Urbana-Champaign \n\nAbstract\nSince its invention in the early 1970s\, magnetic resonance imaging (MRI) has become a premier tool for structural imaging and functional imaging using water proton spin signals. MR spectroscopic imaging (MRSI) has also long been recognized as a potentially powerful tool for noninvasive molecular imaging by exploiting the spin signals from other molecules. However\, state-of-the-art MRSI methods\, after more than four decades of development\, still far short of providing adequate spatial resolution\, speed\, and signal-to-noise ratio useful for routine clinical applications. \n  \nThe talk will discuss our recent “breakthroughs” in overcoming the longstanding technical barriers of MRSI-based molecular imaging using a new technology known as SPICE (SPectroscopic Imaging by exploiting spatiospectral CorrElation). SPICE uses a subspace mathematical framework to effectively integrate rapid scanning\, sparse sampling\, constrained image reconstruction\, quantum simulation\, and machine learning. Preliminary results show an unprecedented capability for simultaneous mapping of brain structures\, function and metabolism using intrinsic spin signals from multiple molecules. In this talk\, I’ll give an overview of SPICE and also show some “SPICY” experimental results we have obtained. \n  \nBiographical Sketch:\nZhi-Pei Liang received his Ph.D. degree in Biomedical Engineering from Case Western Reserve University in 1989.  He subsequently joined the University of Illinois at Urbana-Champaign (UIUC) first as a postdoctoral fellow (supervised by late Nobel Laureate Paul Lauterbur) and then as a faculty member in the Department of Electrical and Computer Engineering. Dr. Liang is currently the Franklin W. Woeltge Professor of Electrical and Computer Engineering; he also chairs the Computational Imaging Group in the Beckman Institute for Advanced Science and Technology.   Dr. Liang’s research is in the general area of magnetic resonance imaging and spectroscopy\, ranging from spin physics\, signal processing\, machine learning\, to biomedical applications. Research from his group has received a number of recognitions\, including the Sylvia Sorkin Greenfield Award (Medical Physics\, 1990)\, Whitaker Biomedical Engineering Research Award (1991)\, NSF CAREER Award (1995)\, Henry Magnuski Scholar Award (UIUC\, 1999)\, University Scholar Award (UIUC\, 2001)\, Isidor I. Rabi Award (International Society of Magnetic Resonance in Medicine\, 2009)\, IEEE-EMBC Best Paper Awards (2010\, 2011\, 2021)\, IEEE-ISBI Best Paper Award (2010\, 2015)\, Otto Schmitt Award (International Federation for Medical and Biological Engineering\, 2012)\, Technical Achievement Award (IEEE Engineering in Medicine and Biology Society\, 2014)\, Andrew Yang Research Award (UIUC\, 2017) and the Gold Medal from the International Society for Magnetic Resonance in Medicine (2022). Dr. Liang was selected as the Paul C. Lauterbur Lecturer for the 2016 ISMRM meeting and as the Savio L. Woo Distinguished Lecturer for the 2017 WACBE World Congress on Bioengeering.  He is a Fellow of the IEEE\, the International Society for Magnetic Resonance in Medicine and the American Institute for Medical and Biological Engineering. He was elected to the International Academy of Medical and Biological Engineering in 2012 and to the US National Academy of Inventors in 2021. Dr. Liang served as President of the IEEE Engineering in Medicine and Biology Society from 2011-2012 and received its Distinguished Service Award in 2015.  He was elected Chair-elect of the International Academy of Medical and Biological Engineering in 2021. \n\nHost\nHai-Ling Margaret Cheng
URL:https://bme.utoronto.ca/event/invited-academic-seminar-series-zhi-pei-liang/
LOCATION:Donnelly Centre for Cellular and Biomolecular Research\, Red Room\, 160 College Street\, Toronto\, Ontario\, M5S 3E1\, Canada
ATTACH;FMTTYPE=image/png:https://bme.utoronto.ca/wp-content/uploads/2022/05/zhi-pei-liang.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221005T120000
DTEND;TZID=America/Toronto:20221005T123000
DTSTAMP:20221004T213735Z
CREATED:20220911T180731Z
LAST-MODIFIED:20221004T213735Z
UID:10000106-1664971200-1664973000@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Mahya Mirbagheri
DESCRIPTION:Graduate Seminar Series: Clinical Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Enabling efficient information retrieval through a novel hybrid-architecture question-answer system and see-through\, gaze-optimized keyboard\nAbstract: This research aims to design and implement an alternative search engine to allow eye-gaze users to find answers to queries faster and more efficiently. A novel hybrid-architecture question and answer system will be programmed and deployed alongside an AR headset with embedded binocular eye-tracking. The overall system will comprise three components corresponding to the sequence of user-machine interaction. In the initial part\, the user specifies the query through eye gaze on a novel persistent\, see-through virtual keyboard. Next\, by applying advanced NLP techniques\, the system tries to understand the query and converses with the user to obtain the necessary information before generating an answer. Then\, in the last part\, the system retrieves data from the internet using search engine scraping techniques to generate the answer.\nSupervisor Name: Tom Chau\nYear of Study: 3\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-clinical-stream-mahya-mirbagheri/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20220930T123000
DTEND;TZID=America/Toronto:20220930T130000
DTSTAMP:20220929T213734Z
CREATED:20220829T170743Z
LAST-MODIFIED:20220929T213734Z
UID:10000073-1664541000-1664542800@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Molecular Stream - Chris Lee
DESCRIPTION:Graduate Seminar Series: Molecular Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for molecular stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: De Novo Design of Novel Peptide Structure\nAbstract: 164 College Street\nSupervisor Name: Michael Garton\nYear of Study: 2\nProgram of Study: MASc\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-molecular-stream-chris-lee/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20220930T120000
DTEND;TZID=America/Toronto:20220930T123000
DTSTAMP:20220929T213734Z
CREATED:20220824T165250Z
LAST-MODIFIED:20220929T213734Z
UID:10000032-1664539200-1664541000@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Molecular Stream - Julien Couture-Senécal
DESCRIPTION:Graduate Seminar Series: Molecular Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for molecular stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Optimization of ionizable lipids for mRNA delivery\nAbstract: Lipid nanoparticles (LNPs) play a key role in the efficacy of mRNA vaccines. Efforts have focused on engineering the ionizable lipid component as it has dramatic effects on safety and efficacy. In this work\, we’ve designed a new ionizable lipid optimized for intramuscular administration of mRNA. We also provided insights on the effect of molecular design and nanoparticle physicochemical parameters on mRNA delivery efficiency.\nSupervisor Name: Omar F. Khan\nYear of Study: 3\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-molecular-stream-julien-couture-senecal/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20220929T120000
DTEND;TZID=America/Toronto:20220929T123000
DTSTAMP:20220927T161624Z
CREATED:20220912T210236Z
LAST-MODIFIED:20220927T161624Z
UID:10000109-1664452800-1664454600@bme.utoronto.ca
SUMMARY:Research: From academia to venture capital (In-person Guest Lecture)
DESCRIPTION:Graduate Seminar Series: Cell and Tissue Stream \n*Note this lecture can count towards your seminar series requirement  \nPresentation Title: Research: From academia to venture capital \nLocation:  WB116 \nAbstract: \nAs scientists\, we continuously strive to push our understanding of the world. As scientists in venture capital\, we try to apply the learnings from academic research to help identify\, evaluate\, and build novel companies. Join us for a discussion on the mission and philosophy of the Research team at Foresite Capital\, and the similarities and differences between research in academia and venture. \nLecturers: \nScott McIsaac\, PhD \nScott is a scientist and technologist\, having made numerous contributions in the fields of synthetic biology\, systems biology\, and the computational and experimental study of transcriptional regulation. Scott comes to Foresite from Calico (a Google/Alphabet-funded life sciences company)\, where he led an independent research laboratory as one of its earliest hires. Scott received his Ph.D. from Princeton University with David Botstein and his postdoctoral training at CalTech with Frances Arnold. \nJacob Barlow\, PhD \nJacob has a broad range of academic and industry research experience in sequencing technologies\, drug delivery\, diagnostics\, and the human microbiome. Previously\, Jacob was a fellow at Northpond Ventures handling life science tools and diagnostics investments and completed his Ph.D. in Bioengineering from CalTech in the lab of Rustem Ismagilov. He also worked on RNA delivery at Moderna Tx and oral peptide delivery at Entrega Tx. \n 
URL:https://bme.utoronto.ca/event/graduate-seminar-series-cell-and-tissue-stream-ivy-hon/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20220929T120000
DTEND;TZID=America/Toronto:20220929T123000
DTSTAMP:20220928T213730Z
CREATED:20220912T210236Z
LAST-MODIFIED:20220928T213730Z
UID:10000111-1664452800-1664454600@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Cell and Tissue Stream - Ivy Hon
DESCRIPTION:Graduate Seminar Series: Cell and Tissue Stream\nGraduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for cell and tissue stream presenters.\nIf you would like to invite your Principal Investigator\, please add their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nPresentation Title: Guest Lecture: TBA\nAbstract: TBD\nSupervisor Name: N/A\nYear of Study: N/A\nProgram of Study: PhD\nZoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09\nMeeting ID: 896 1037 2821\nPassword: 483329\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-seminar-series-cell-and-tissue-stream-ivy-hon-2/
CATEGORIES:Graduate Seminar Series
END:VEVENT
END:VCALENDAR