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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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DTSTART:20210314T070000
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221102T120000
DTEND;TZID=America/Toronto:20221102T123000
DTSTAMP:20260404T213922
CREATED:20220828T170755Z
LAST-MODIFIED:20221101T203731Z
UID:38562-1667390400-1667392200@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:20221108T110000
DTEND;TZID=America/Toronto:20221108T120000
DTSTAMP:20260404T213922
CREATED:20221005T183053Z
LAST-MODIFIED:20221005T183432Z
UID:39022-1667905200-1667908800@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:20221108T120000
DTEND;TZID=America/Toronto:20221108T130000
DTSTAMP:20260404T213922
CREATED:20220512T152126Z
LAST-MODIFIED:20221102T202000Z
UID:37306-1667908800-1667912400@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:20221109T120000
DTEND;TZID=America/Toronto:20221109T123000
DTSTAMP:20260404T213922
CREATED:20221017T220745Z
LAST-MODIFIED:20221108T203736Z
UID:39113-1667995200-1667997000@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:20221109T123000
DTEND;TZID=America/Toronto:20221109T130000
DTSTAMP:20260404T213922
CREATED:20220829T170756Z
LAST-MODIFIED:20221108T203736Z
UID:38573-1667997000-1667998800@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:20221110T120000
DTEND;TZID=America/Toronto:20221110T130000
DTSTAMP:20260404T213922
CREATED:20220704T182652Z
LAST-MODIFIED:20220714T162325Z
UID:37914-1668081600-1668085200@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:20221116T120000
DTEND;TZID=America/Toronto:20221116T123000
DTSTAMP:20260404T213922
CREATED:20220909T180736Z
LAST-MODIFIED:20221112T203802Z
UID:38709-1668600000-1668601800@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:20221116T123000
DTEND;TZID=America/Toronto:20221116T130000
DTSTAMP:20260404T213922
CREATED:20220829T170757Z
LAST-MODIFIED:20220829T170757Z
UID:38576-1668601800-1668603600@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:20221116T123000
DTEND;TZID=America/Toronto:20221116T130000
DTSTAMP:20260404T213922
CREATED:20220927T213832Z
LAST-MODIFIED:20221112T203802Z
UID:38946-1668601800-1668603600@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:20221118T120000
DTEND;TZID=America/Toronto:20221118T123000
DTSTAMP:20260404T213922
CREATED:20221029T030419Z
LAST-MODIFIED:20221117T205253Z
UID:39213-1668772800-1668774600@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:20221124T120000
DTEND;TZID=America/Toronto:20221124T123000
DTSTAMP:20260404T213922
CREATED:20220902T172310Z
LAST-MODIFIED:20221123T192238Z
UID:38633-1669291200-1669293000@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:20221124T123000
DTEND;TZID=America/Toronto:20221124T130000
DTSTAMP:20260404T213922
CREATED:20221001T213822Z
LAST-MODIFIED:20221123T192238Z
UID:38982-1669293000-1669294800@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:20221125T120000
DTEND;TZID=America/Toronto:20221125T123000
DTSTAMP:20260404T213922
CREATED:20220827T170739Z
LAST-MODIFIED:20221124T192231Z
UID:38555-1669377600-1669379400@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:20221125T123000
DTEND;TZID=America/Toronto:20221125T130000
DTSTAMP:20260404T213922
CREATED:20220824T165251Z
LAST-MODIFIED:20221124T192232Z
UID:38491-1669379400-1669381200@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
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221130T120000
DTEND;TZID=America/Toronto:20221130T123000
DTSTAMP:20260404T213922
CREATED:20220824T165254Z
LAST-MODIFIED:20221129T192229Z
UID:38502-1669809600-1669811400@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:20221130T123000
DTEND;TZID=America/Toronto:20221130T130000
DTSTAMP:20260404T213922
CREATED:20220830T170739Z
LAST-MODIFIED:20221129T192229Z
UID:38590-1669811400-1669813200@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
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END:VCALENDAR