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X-WR-CALDESC:Events for Institute of Biomedical Engineering (BME)
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DTSTART;TZID=America/Toronto:20221213T120000
DTEND;TZID=America/Toronto:20221213T130000
DTSTAMP:20221205T195238Z
CREATED:20220512T152615Z
LAST-MODIFIED:20221205T195238Z
UID:10000019-1670932800-1670936400@bme.utoronto.ca
SUMMARY:Invited Academic Seminar Series - Vivian Mushahwar- Walking Again after Spinal Cord Injury (Virtual Only)
DESCRIPTION:Speaker\nVivian Mushahwar\nProfessor in the Division of Physical Medicine and Rehabilitation\nFaculty of Medicine & Dentistry\nUniversity of Alberta \n\nAbstract\nThe overall goal of the work in my lab is to develop interventions that improve function after neural injury or disease. In this talk\, I will focus on spinal cord injury (SCI)\, a devastating condition that drastically alters a person’s functional abilities and quality of life. I will describe our work\, which merges neuroscience\, engineering and rehabilitation\, in restoring the ability to walk after SCI. This will include a spinal micro-implant we developed for restoring standing and walking after complete SCI and a therapeutic approach we developed to improve walking after incomplete SCI.  Our interventions have the potential to improve function\, reduce the incidence of secondary complications and improve quality of life. \n\nHost\nKei Masani
URL:https://bme.utoronto.ca/event/invited-academic-seminar-series-vivian-mushahwar/
ATTACH;FMTTYPE=image/jpeg:https://bme.utoronto.ca/wp-content/uploads/2022/05/VivianMushahwar.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221213T130000
DTEND;TZID=America/Toronto:20221213T160000
DTSTAMP:20221102T184632Z
CREATED:20221102T184304Z
LAST-MODIFIED:20221102T184632Z
UID:10000153-1670936400-1670947200@bme.utoronto.ca
SUMMARY:BME Holiday Cocktail Party 2022
DESCRIPTION:Institute of Biomedical Engineering (BME) is proud to host this year’s Institute-wide holiday celebration! Get out of your labs and offices\, socialize\, get to know one another\, and help build our community. \nDate and Time:  December 13\, 2022\, 1:00-4:00 pm\nVenue:  Great Hall\, Hart House
URL:https://bme.utoronto.ca/event/bme-holiday-cocktail-party-2022/
LOCATION:Great Hall\, Hart House\, 7 Hart House Cir\, Toronto\, Ontario\, M5S 3H3\, Canada
CATEGORIES:Events & Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221214T120000
DTEND;TZID=America/Toronto:20221214T123000
DTSTAMP:20221213T193756Z
CREATED:20220823T165238Z
LAST-MODIFIED:20221213T193756Z
UID:10000036-1671019200-1671021000@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Atousa Assadi
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: Risk Assessment and Prediction of Opioids Induced Respiratory Adverse Events\nAbstract: Opioids induced respiratory adverse events during sleep is a major health challenge. These adverse events are mainly characterized as prolonged reduction of airflow and respiratory rate and reduced blood oxygen saturation. The consequences are cardiopulmonary complications\, increased morbidity\, hospital length of stay\, costs\, 30-day readmission\, and higher mortality. The risk factors include age\, sex\, body mass index\, opioids’ dosage\, comorbid sleep and cardiac disorders\, and concomitant use of other medications. While identifying high-risk individuals\, proper monitoring of their respiratory function\, and timely interventions can significantly prevent the adverse events\, current techniques have low accuracy\, lack external validation\, have false errors\, cannot predict adverse respiratory events. Therefore\, in this research project\, our goal is to develop algorithms based on signal processing and artificial intelligence techniques for risk assessment and prediction of respiratory adverse events during sleep in individuals who are taking opioids. The outcome of this research can help identify high-risk individuals for more frequent monitoring of their respiratory function. Moreover\, the monitoring and prediction algorithm can be used to alert the caregivers in advance of an adverse event for initiating proper intervention.\nSupervisor Name: Dr. Azadeh Yadollahi\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-atousa-assadi/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221214T123000
DTEND;TZID=America/Toronto:20221214T130000
DTSTAMP:20221213T193756Z
CREATED:20220829T170757Z
LAST-MODIFIED:20221213T193756Z
UID:10000078-1671021000-1671022800@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Michael Tisi
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 Assisted Pulmonary Function Assessment via Intrabreath Oscillometry\nAbstract:\nIntrabreath oscillometry is a pulmonary function test that enables the dynamic tracking of mechanical changes in the respiratory system by measuring airway impedance. Raw volume\, pressure\, and flow measurements from intrabreath oscillometry tests were input to a novel classification architecture to resolve one of the following physiologies: normal\, restrictive\, obstructive\, or mixed obstructive-restrictive functionality. The MiniROCKET algorithm was first used to generate features from input time series\ndata and train a ridge regression classifier model. When used for inference\, output classifier scores are utilized in a soft voting scheme to acquire a final\, confident prediction of pulmonary function based on all valid intrabreath oscillometry trials for\na given subject. The proposed classification architecture was able to distinguish between normal\, restrictive\, and obstructive pulmonary function with state of the art accuracy; however\, it struggled\, at first\, to differentiate between restrictive and mixed obstructive-restrictive physiologies. After identifying and removing anomalous training examples and defining a region of uncertainty instead of a rigid decision boundary for the classifier\, the proposed architecture was also able to distinguish between restrictive and mixed obstructive-restrictive pulmonary function with state of the art accuracy.\nSupervisor Name: Chung-Wai Chow; Shahrokh Valaee\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-michael-tisi/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221214T123000
DTEND;TZID=America/Toronto:20221214T130000
DTSTAMP:20220829T170757Z
CREATED:20220829T170757Z
LAST-MODIFIED:20220829T170757Z
UID:10000080-1671021000-1671022800@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Clinical Stream - Michael Tisi
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 Assisted Pulmonary Function Assessment via Intrabreath Oscillometry\nAbstract:\nIntrabreath oscillometry is a pulmonary function test that enables the dynamic tracking of mechanical changes in the respiratory system by measuring airway impedance. Raw volume\, pressure\, and flow measurements from intrabreath oscillometry tests were input to a novel classification architecture to resolve one of the following physiologies: normal\, restrictive\, obstructive\, or mixed obstructive-restrictive functionality. The MiniROCKET algorithm was first used to generate features from input time series\ndata and train a ridge regression classifier model. When used for inference\, output classifier scores are utilized in a soft voting scheme to acquire a final\, confident prediction of pulmonary function based on all valid intrabreath oscillometry trials for\na given subject. The proposed classification architecture was able to distinguish between normal\, restrictive\, and obstructive pulmonary function with state of the art accuracy; however\, it struggled\, at first\, to differentiate between restrictive and mixed obstructive-restrictive physiologies. After identifying and removing anomalous training examples and defining a region of uncertainty instead of a rigid decision boundary for the classifier\, the proposed architecture was also able to distinguish between restrictive and mixed obstructive-restrictive pulmonary function with state of the art accuracy.\nSupervisor Name: Chung-Wai Chow; Shahrokh Valaee\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-michael-tisi-2/
CATEGORIES:Graduate Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221215T123000
DTEND;TZID=America/Toronto:20221215T130000
DTSTAMP:20221214T193725Z
CREATED:20221017T220759Z
LAST-MODIFIED:20221214T193725Z
UID:10000149-1671107400-1671109200@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Cell and Tissue Stream - Anthony Eiliazadeh
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: Rejuvenation of Type II Alveolar Epithelial Cells Using Interrupted Reprogramming to Reverse the Hallmarks of Aging\nAbstract: Autologous lung cell therapy applications for the elderly are limited by suitable cell sources given cellular health declines with age. Alveolar type 2 (AT2) cells\, noted to be the distal lung epithelial cell progenitor cell\, have shown to be useful as a therapeutic cell source for a number of lung pathologies including Pulmonary Fibrosis. We look to identify aging hallmarks and use a novel transient reprogramming strategy to reverse damage resulting from age and disease. Our reprogramming approach is based on doxycycline-mediated induction of pluripotency stem cell genes\, Oct4\, Klf4\, c-Myc\, and Sox2 (OKMS)\, resulting in transient expression for a defined period\, thus generating rejuvenated aged AT2-induced progenitor-like (AT2-iPL) cells. Our findings show that aged (≥65 years old) human AT2 cells have limited clonal potential and are functionally deficient compared to young (≤35 years old) AT2 cells. The aged alveolospheres are smaller and appear to have a different morphology which will be explored further. Aged AT2 cells have increased DNA damage and increased gene expression for senescence biomarkers including p21 and SA-β galactosidase- this might contribute to the lack of proliferation in aged alveolospheres. We look to add additional assays investigating telomere length and telomere maintenance genes\, epigenetic marks\, and mitochondrial health. After we have applied our interrupted reprogramming process to aged AT2 cells\, we will characterize AT2-iPL cells and assess if they have restored functionality like young AT2 cells. Thus\, providing a rejuvenated population for therapeutic use with the elimination of cell-intrinsic deficits after the reprogramming process.\nSupervisor Name: Dr. Waddell\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-anthony-eiliazadeh/
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221216T120000
DTEND;TZID=America/Toronto:20221216T123000
DTSTAMP:20221215T193747Z
CREATED:20221117T205247Z
LAST-MODIFIED:20221215T193747Z
UID:10000157-1671192000-1671193800@bme.utoronto.ca
SUMMARY:Graduate Seminar Series: Molecular Stream - Jose Gilberto Camacho Valenzuela
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: Developing and miniaturizing Digital Microfluidic platforms for immunoassays\nAbstract:\nCapacity to test\, track and monitor immune status against any antigen quantitatively is becoming more and more important for personalized medicine. Different types of detection technologies have been emerged and implemented.\nSome of them (such as conventional ELISA) are highly sensitive but unfortunately\, they lack of portability\, requiring laboratory conditions to be operated. However\, important effort has been done in order to move out the diagnostics from the lab\, developing miniaturized portable technology such as Lateral Flow Assays\, or another powerful platforms such as paper-based biosensors. They are not only portable\, but also low cost and time-responses are incredibly fast (5-15 min) compared to conventional immunoassays.\nHowever\, sensitivity is something that needs to be improved in these technologies to be compared to the conventional immunoassays.\nThere are other technologies that have recently emerged such as Digital Microfluidics (DMF)\, which is a liquid-handling technology that can manipulate liquids in discrete droplets.\nBy applying an electrical potential individually on an electrode array\, this not only allows us to move droplets in a fully controllable way\, but also to split\, dispense and merge them\, giving us the capability to make an entire laboratory protocol within a Digital microfluidic chip in a fully automated way.\nHence\, during my PhD\, as Aim 1\, I will be focused on the development of an ELISA immunoassay for COVID-19 immune response on a Digital Microfluidic platform.\nAs a second Aim\, a miniaturized DMF platform for immunoassays will be implemented\, towards a hand-held\, low-cost device.\nSupervisor Name: Aaron Wheeler\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-molecular-stream-jose-gilberto-camacho-valenzuela/
CATEGORIES:Graduate Seminar Series
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