BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Institute of Biomedical Engineering (BME) - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://bme.utoronto.ca
X-WR-CALDESC:Events for Institute of Biomedical Engineering (BME)
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Toronto
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240906T120000
DTEND;TZID=America/Toronto:20240906T140000
DTSTAMP:20260419T162754
CREATED:20240730T124447Z
LAST-MODIFIED:20240730T201330Z
UID:45254-1725624000-1725631200@bme.utoronto.ca
SUMMARY:Institute of Biomedical Engineering Barbeque
DESCRIPTION:We are thrilled to invite you to the Fall BBQ hosted by the Institute of Biomedical Engineering! Join us for an afternoon of delicious food\, great company\, and a chance to connect with incoming students and BME community members. \nThis event is open to students\, faculty\, and staff at the Institute of Biomedical Engineering. Please register below so we may order food accordingly. \nDate: Friday\, September 6\, 2024  \nTime: 12:00 PM – 2:00 PM  \nLocation: Bahen Courtyard \nRegister here.\n 
URL:https://bme.utoronto.ca/event/institute-of-biomedical-engineering-barbeque/
LOCATION:ON
CATEGORIES:Events & Workshops
ATTACH;FMTTYPE=image/jpeg:https://bme.utoronto.ca/wp-content/uploads/2024/07/BME_BBQ_2022-07.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240909T171000
DTEND;TZID=America/Toronto:20240909T172500
DTSTAMP:20260419T162754
CREATED:20240822T172239Z
LAST-MODIFIED:20240909T190733Z
UID:45463-1725901800-1725902700@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Laura Kondrataviciute
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: HS610 – 155 College St\, Room 610\nPresentation Title: Depressive-like phenotype induced by AAV-mediated overexpression of human α-synuclein in midbrain dopaminergic neurons\nSupervisor Name: Dr Taufik Valiante\, Dr Luka Milosevic\nYear of Study: 3\nProgram of Study: PhD\nReschedule Reason: Venue and time change of BME Seminars\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-laura-kondrataviciute/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240909T172500
DTEND;TZID=America/Toronto:20240909T174000
DTSTAMP:20260419T162754
CREATED:20240904T224620Z
LAST-MODIFIED:20240904T224620Z
UID:45631-1725902700-1725903600@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Mohammad Rezaei
DESCRIPTION:Location: HS610 – 155 College St\, Room 610 \nPresentation Title: Inferring cognitive state underlying conflict choices in verbal Stroop task Abstract: The subthalamic nucleus (STN) within the basal ganglia interacts with the medial prefrontal cortex (mPFC) to form a control loop\, particularly active when the brain encounters contradictory information from different sensory systems or conflicting inputs from sensory data and pre-existing knowledge. Experimental studies have shown that significant increases in theta activity (2–8 Hz) in both the STN and mPFC\, along with enhanced phase synchronization between these regions\, are key features of conflict processing. While these neural markers highlight the critical role of the STN-mPFC circuitry in managing conflicts\, a low-dimensional representation of the mPFC-STN interaction—referred to as a cognitive state—that links neural activities to behavioral outcomes\, such as response time\, remains to be fully understood. To address this\, we propose the heterogeneous input discriminative-generative decoder (HI-DGD) model\, designed to infer cognitive states underlying decision-making by integrating neural activities from the STN and mPFC with behavioral signals\, specifically response times recorded from ten Parkinson’s disease (PD) patients performing a Stroop task. PD patients may experience conflict processing that differs quantitatively\, and possibly qualitatively\, from that of healthy individuals. Our results\, derived from extensive synthetic and experimental data\, demonstrate that the HI-DGD model can simultaneously process neural and behavioral data to estimate cognitive states in conflict and non-conflict trials more effectively than traditional methods. Moreover\, the HI-DGD model identifies which neural features significantly contribute to conflict and non-conflict decisions\, with the inferred features closely aligning with those reported in experimental studies. Importantly\, the HI-DGD model’s ability to estimate cognitive states from single trials makes it highly suitable for use in closed-loop neuromodulation systems. \nSupervisor Name: Milos Popovic \nYear of Study: 5 \nProgram of Study: PhD
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-mohammad-rezaei-5/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240909T174000
DTEND;TZID=America/Toronto:20240909T175500
DTSTAMP:20260419T162754
CREATED:20240904T224828Z
LAST-MODIFIED:20240904T224828Z
UID:45634-1725903600-1725904500@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Mohammad Rezaei
DESCRIPTION:Presentation Title: Cognitive State Inference and the Impact of Deep Brain Stimulation on Decision-Making in Parkinson’s Disease \nAbstract: Human cognition arises from the intricate interplay of neural and behavioral signals\, shaped by dynamic interactions across distributed brain networks. Understanding these hidden cognitive states is particularly important in neurological disorders like Parkinson’s disease (PD)\, which impair cognitive functions and disrupt normal brain activity. This thesis focuses on developing computational models to infer cognitive states from high-dimensional neural and behavioral data and to evaluate the impact of deep brain stimulation (DBS) on cognitive abilities during decision-making processes. Specifically\, it explores the temporal effects of DBS on PD patients’ cognitive abilities in high-conflict and no-conflict decision-making situations\, introducing the Cognet model. This model\, which simulates the dynamic interactions between the subthalamic nucleus (STN) and the medial prefrontal cortex (mPFC)\, provides insights into the optimal timing and modulation strategies for DBS to enhance cognitive function. The proposed models open new pathways for understanding the generation of neural and behavioral signals and the effects of neuromodulation on cognitive processes\, contributing to the advancement of cognitive state inference and therapeutic interventions in neuroscience. \nSupervisor Name: Milos Popovic \nYear of Study: 5 \nProgram of Study: PhD
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-mohammad-rezaei-6/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240910T120000
DTEND;TZID=America/Toronto:20240910T130000
DTSTAMP:20260419T162754
CREATED:20240722T130649Z
LAST-MODIFIED:20240820T200047Z
UID:45205-1725969600-1725973200@bme.utoronto.ca
SUMMARY:Innovation Illuminated: Through Personal and Professional Breakthroughs- Jeff Karp
DESCRIPTION:Abstract\nFeeling stuck in a rut\, trapped in the repetitive motions of daily life? Imagine if the key to breaking free was already within your grasp\, ready to be unlocked by adopting transformative tools and mindsets. \n\n\nJoin us for an enlightening lecture with Jeff Karp\, a distinguished professor at Brigham and Women’s Hospital and a dedicated innovator in medical research at Harvard Medical School and MIT. Jeff’s journey from a child struggling with learning differences and ADHD to a scientist and entrepreneur is a testament to the power of unconventional thinking and deliberate action. \nJeff developed a set of innovative tools and processes\, which he calls “Life Ignition Tools\,” by drawing inspiration from nature. These tools helped him not only adapt and flourish but also led to significant innovations in science and industry. His achievements include co-founding 12 companies\, securing over 100 patents\, and receiving awards for innovations like a tissue glue that seals holes in a beating heart. \nIn his new book\, “LIT: Life Ignition Tools: Use Nature’s Playbook to Energize Your Brain\, Spark Ideas\, and Ignite Action\,” Jeff shares profound lessons on how to intercept routine patterns and actively think and decide instead of reacting with habitual responses. This lecture will delve into the key principles from “LIT” that helped Jeff overcome learning challenges and transform cutting-edge research into real-world solutions. \nDiscover how adopting these Life Ignition Tools can help you break free from autopilot\, make intentional decisions\, and lead a more creative and purposeful life. \n\n\nBiography \nhttps://hsci.harvard.edu/people/jeffrey-karp-phd
URL:https://bme.utoronto.ca/event/invited-academic-seminar-series-jeff-karp/
LOCATION:ON
CATEGORIES:BME Invited Academic Speaker Series
ATTACH;FMTTYPE=image/jpeg:https://bme.utoronto.ca/wp-content/uploads/2024/07/Speaker-2024-2025-Jeff-Karp.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240916T172500
DTEND;TZID=America/Toronto:20240916T174000
DTSTAMP:20260419T162754
CREATED:20240904T225201Z
LAST-MODIFIED:20240904T225201Z
UID:45636-1726507500-1726508400@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Saleh Tabatabaei
DESCRIPTION:Presentation Title: An AI-enabled Study of Osteosarcopenia Progression in Prostate Cancer \nAbstract: Osteosarcopenia\, a condition that combines osteopenia and sarcopenia\, poses significant challenges to the musculoskeletal health of prostate cancer patients\, especially due to the prolonged impact of disease and treatment. Despite its prevalence\, the combined effects of osteopenia and sarcopenia have been insufficiently explored\, with existing studies often relying on single time-point evaluations. This study aims to quantify the progression of osteosarcopenia in patients with advanced prostate cancer by utilizing artificial intelligence (AI) to analyze electronic medical records (EMR) and imaging biomarkers from serial 3D CT scans. The hypothesis is that AI-enhanced analysis can predict osteosarcopenia progression and evaluate the impact of cancer treatments on both bone and muscle health. The methodology involves a retrospective analysis of medical imaging and EMR from over 1\,500 patients across multiple international cancer centers. A biomarker extraction pipeline\, employing advanced deep learning techniques\, is developed to assess osteosarcopenia in CT scans. Predictive modeling utilizes time-series analysis and deep neural networks to understand disease progression and treatment effects. This research seeks to transform osteosarcopenia management by providing robust progression quantification and insights into the interplay between sarcopenia and osteopenia\, ultimately improving diagnosis and treatment strategies. \nSupervisor Name: Cari Whyne\, Michael Hardisty \nYear of Study: 3 \nProgram of Study: PhD
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-saleh-tabatabaei-4/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240916T174000
DTEND;TZID=America/Toronto:20240916T175500
DTSTAMP:20260419T162754
CREATED:20240823T172234Z
LAST-MODIFIED:20240916T190739Z
UID:45483-1726508400-1726509300@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Minnie Menezes
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: HS610 – 155 College St\, Room 610\nPresentation Title: Identifying Challenges in the Operating Room through a Surgical Process Analysis of Orthopaedic Teams\nAbstract:\nBackground & Purpose\nSurgical performance is a key factor in the success of operative interventions\, affecting patient outcomes and operating room (OR) efficiency. This is dependent on the skills of the individual surgeons\, nurses\, anesthesiologists\, and radiation technologists and their interactions. However\, the multidisciplinary nature of OR performance is often overlooked when studying surgical processes. Including interdisciplinary interactions and associated challenges may yield a more comprehensive workflow understanding. As such\, the aim of this study was to conduct a multidisciplinary surgical process analysis of orthopaedic teams undertaking operative hip fracture repair.\nMethods\nWe conducted an ethnographic study that incorporated observations and semi-structured interviews. The observations were of hip fracture fixation procedures\, both in-person and via intraoperative recordings. Intraoperative recordings were captured using the OR Black Box\, which includes audio\, video (from five perspectives)\, and patient vitals\, and then annotated. Semi-structured interviews were conducted with experts in four disciplines (surgery\, anesthesia\, nursing\, and radiation technology). Two members of the research team analyzed the interview data inductively to identify themes. The researchers ensured intercoder reliability through dialogue and consensus.\nResults & Discussion\nA process analysis map was created from the intraoperative recording annotations and in-person observations\, including phases\, steps\, and activities conducted by each discipline in chronological order. The intricacies of collaborations between disciplines and challenges in the OR were visually demonstrated on the map. Four themes were identified from the interview data that describes the surgical process: the main responsibilities of each discipline; system-level\, case-specific\, and interdisciplinary challenges; the impact/consequences of challenges on individual workflows; and a breakdown of the OR culture.\nConclusion\nWe created a multidisciplinary surgical process map that demonstrates the interconnections and challenges present in the orthopaedic OR during hip fracture repair. Challenges identified will inform quality improvement initiatives and educational interventions\, towards improving communication and reducing workflow disruptions.\nSupervisor Name: Cari Whyne\nYear of Study: 2\nProgram of Study: MASc\nReschedule Reason: Venue and time change of BME Seminars\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-minnie-menezes/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240916T175500
DTEND;TZID=America/Toronto:20240916T181000
DTSTAMP:20260419T162754
CREATED:20240904T175231Z
LAST-MODIFIED:20240904T175231Z
UID:45596-1726509300-1726510200@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Katrina Meng
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: HS610 – 155 College St\, Room 610\nPresentation Title: Characterizing Conventional Transradial Prosthesis Design to Inform Digital Design Workflow\nSupervisor Name: Jan Andrysek\nYear of Study: 2\nProgram of Study: MASc\nReschedule Reason: Venue and time change of BME Seminars\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-katrina-meng/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240923T171000
DTEND;TZID=America/Toronto:20240923T172500
DTSTAMP:20260419T162754
CREATED:20240822T172239Z
LAST-MODIFIED:20240923T192232Z
UID:45466-1727111400-1727112300@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Sheldon Mei
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: HS610 – 155 College St\, Room 610\nPresentation Title: Developing an Analytical NMR Technique for Studying Interactions between Spin-Coated Contact Lens Materials and Soluble Proteins\nSupervisor Name: Dr. Frank Gu\nYear of Study: 2\nProgram of Study: MASc\nReschedule Reason: Venue and time change of BME Seminars\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-sheldon-mei/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240923T172500
DTEND;TZID=America/Toronto:20240923T174000
DTSTAMP:20260419T162754
CREATED:20240823T172235Z
LAST-MODIFIED:20240923T192233Z
UID:45488-1727112300-1727113200@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Savina Cammalleri
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: HS610 – 155 College St\, Room 610\nPresentation Title: Developing a Spatial Multi-Omics Platform to Study Microglia Morphology and Functipn\nSupervisor Name: Aaron Wheeler\nYear of Study: 2\nProgram of Study: PhD\nReschedule Reason: Venue and time change of BME Seminars\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-savina-cammalleri/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240923T174000
DTEND;TZID=America/Toronto:20240923T175500
DTSTAMP:20260419T162754
CREATED:20240910T190750Z
LAST-MODIFIED:20240923T192233Z
UID:45700-1727113200-1727114100@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Mohammad Parsa Oveisi
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: HS610 – 155 College St\, Room 610\nPresentation Title: Using Computational Modeling to Disentangle Physiological Underpinnings of Excitability in TMS\nAbstract:\nTranscranial Magnetic Stimulation (TMS) is a powerful neuromodulation technique\, yet its efficacy is hindered by variability in individual responses. This variability is largely attributed to differences in brain excitability\, which is influenced by both external factors (e.g.\, stimulation intensity) and internal\, brain-dependent factors. To disentangle these contributions and elucidate their interactions\, we employed a novel approach combining empirical TMS-EEG measurements with advanced computational modeling.\nWe collected TMS-EEG data from the dorsolateral prefrontal cortex (DLPFC) at various stimulation intensities. Analysis of TMS-Evoked Potentials (TEPs) revealed multiple intensity-sensitive components (N45\, P60\, N120\, P200\, and Cluster Amplitude Variability)\, each showing distinct scaling properties. Notably\, brain-dependent metrics\, such as Resting Motor Threshold (RMT)\, proved to be superior predictors of TEP amplitude compared to stimulator output intensity.\nTo investigate the underlying physiological mechanisms\, we utilized a whole-brain computational model “WhoBPyT”. The model successfully captured empirical dynamics with high accuracy and reproduced observed correlation patterns between excitability metrics. Importantly\, different model parameters correlated with distinct excitability peaks\, suggesting that various TEP components may reflect different neural processes. Network analysis further indicated that some components (e.g.\, N120) result from global network reverberations\, while others (e.g.\, N45) represent more localized responses.\nOur findings demonstrate that TMS-induced cortical responses are shaped by multiple\, partially independent excitability-related processes. This work provides novel insights into the physiological underpinnings of TMS effects and offers a promising approach for developing more targeted and individualized TMS protocols. Future research should focus on incorporating these insights into clinical applications to enhance the efficacy of TMS therapies.\nSupervisor Name: Drs. John D. Griffiths & Christoph Zrenner\nYear of Study: 3\nProgram of Study: MASc\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-mohammad-parsa-oveisi/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240923T174000
DTEND;TZID=America/Toronto:20240923T175500
DTSTAMP:20260419T162754
CREATED:20240910T190750Z
LAST-MODIFIED:20240910T190750Z
UID:45701-1727113200-1727114100@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Mohammad Parsa Oveisi
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: HS610 – 155 College St\, Room 610\nPresentation Title: Using Computational Modeling to Disentangle Physiological Underpinnings of Excitability in TMS\nAbstract:\nTranscranial Magnetic Stimulation (TMS) is a powerful neuromodulation technique\, yet its efficacy is hindered by variability in individual responses. This variability is largely attributed to differences in brain excitability\, which is influenced by both external factors (e.g.\, stimulation intensity) and internal\, brain-dependent factors. To disentangle these contributions and elucidate their interactions\, we employed a novel approach combining empirical TMS-EEG measurements with advanced computational modeling.\nWe collected TMS-EEG data from the dorsolateral prefrontal cortex (DLPFC) at various stimulation intensities. Analysis of TMS-Evoked Potentials (TEPs) revealed multiple intensity-sensitive components (N45\, P60\, N120\, P200\, and Cluster Amplitude Variability)\, each showing distinct scaling properties. Notably\, brain-dependent metrics\, such as Resting Motor Threshold (RMT)\, proved to be superior predictors of TEP amplitude compared to stimulator output intensity.\nTo investigate the underlying physiological mechanisms\, we utilized a whole-brain computational model “WhoBPyT”. The model successfully captured empirical dynamics with high accuracy and reproduced observed correlation patterns between excitability metrics. Importantly\, different model parameters correlated with distinct excitability peaks\, suggesting that various TEP components may reflect different neural processes. Network analysis further indicated that some components (e.g.\, N120) result from global network reverberations\, while others (e.g.\, N45) represent more localized responses.\nOur findings demonstrate that TMS-induced cortical responses are shaped by multiple\, partially independent excitability-related processes. This work provides novel insights into the physiological underpinnings of TMS effects and offers a promising approach for developing more targeted and individualized TMS protocols. Future research should focus on incorporating these insights into clinical applications to enhance the efficacy of TMS therapies.\nSupervisor Name: Drs. John D. Griffiths & Christoph Zrenner\nYear of Study: 3\nProgram of Study: MASc\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-mohammad-parsa-oveisi-2/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240923T175500
DTEND;TZID=America/Toronto:20240923T181000
DTSTAMP:20260419T162754
CREATED:20240828T173729Z
LAST-MODIFIED:20240923T192233Z
UID:45561-1727114100-1727115000@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Nicholas Yee
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: HS610 – 155 College St\, Room 610\nPresentation Title: Development of a hip fracture screening tool using computer vision assisted ultrasound imaging\nSupervisor Name: Cari Whyne\nYear of Study: 2\nProgram of Study: PhD\nReschedule Reason: Venue and time change of BME Seminars\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-nicholas-yee/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240930T172500
DTEND;TZID=America/Toronto:20240930T174000
DTSTAMP:20260419T162754
CREATED:20240823T172235Z
LAST-MODIFIED:20240930T193831Z
UID:45493-1727717100-1727718000@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Julien Couture-Senecal
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: HS610 – 155 College St\, Room 610\nPresentation Title: Rational design of ionizable lipids for mRNA vaccines\nSupervisor Name: Omar F. Khan\nYear of Study: 5\nProgram of Study: PhD\nReschedule Reason: Venue and time change of BME Seminars\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-julien-couture-senecal/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240930T174000
DTEND;TZID=America/Toronto:20240930T175500
DTSTAMP:20260419T162754
CREATED:20240823T172235Z
LAST-MODIFIED:20240930T193831Z
UID:45491-1727718000-1727718900@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Grayson Tilstra
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: HS610 – 155 College St\, Room 610\nPresentation Title: Design of ionizable lipids for mRNA delivery\nSupervisor Name: Omar F. Khan\nYear of Study: 5\nProgram of Study: PhD\nReschedule Reason: Venue and time change of BME Seminars\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-grayson-tilstra/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240930T175500
DTEND;TZID=America/Toronto:20240930T181000
DTSTAMP:20260419T162754
CREATED:20240903T173728Z
LAST-MODIFIED:20240930T193831Z
UID:45582-1727718900-1727719800@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Suyue Lyu
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: HS610 – 155 College St\, Room 610\nPresentation Title: Variational autoencoder for design of synthetic viral vector serotypes\nAbstract: Recent\, rapid advances in deep generative models for protein design have focused on small proteins with lots of data. Such models perform poorly on large proteins with limited natural sequences\, for instance\, the capsid protein of adenoviruses and adeno-associated virus\, which are common delivery vehicles for gene therapy. Generating synthetic viral vector serotypes could overcome the potent pre-existing immune responses that most gene therapy recipients exhibit—a consequence of previous environmental exposure. We present a variational autoencoder (ProteinVAE) that can generate synthetic viral vector serotypes without epitopes for pre-existing neutralizing antibodies. A pre-trained protein language model was incorporated into the encoder to improve data efficiency\, and deconvolution-based upsampling was used for decoding to avoid degenerate repetition seen in long protein sequence generation. ProteinVAE is a compact generative model with just 12.4 million parameters and was efficiently trained on the limited natural sequences. Viral protein sequences generated were used to produce structures with thermodynamic stability and viral assembly capability indistinguishable from natural vector counterparts. ProteinVAE can be used to generate a broad range of synthetic serotype sequences without epitopes for pre-existing neutralizing antibodies in the human population\, effectively addressing one of the major challenges of gene therapy. It could be used more broadly to generate different types of viral vector\, and any large\, therapeutically valuable proteins\, where available data are sparse.\nSupervisor Name: Michael Garton\nYear of Study: 3\nProgram of Study: PhD\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-suyue-lyu-3/
LOCATION:HS610
CATEGORIES:Graduate Seminar Series
END:VEVENT
END:VCALENDAR