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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221005T120000
DTEND;TZID=America/Toronto:20221005T123000
DTSTAMP:20221004T213735Z
CREATED:20220911T180731Z
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UID:38736-1664971200-1664973000@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:20221011T120000
DTEND;TZID=America/Toronto:20221011T130000
DTSTAMP:20221005T172529Z
CREATED:20220512T151429Z
LAST-MODIFIED:20221005T172529Z
UID:37300-1665489600-1665493200@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:20221011T120000
DTEND;TZID=America/Toronto:20221011T130000
DTSTAMP:20220929T200029Z
CREATED:20220929T200029Z
LAST-MODIFIED:20220929T200029Z
UID:38959-1665489600-1665493200@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
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221013T120000
DTEND;TZID=America/Toronto:20221013T130000
DTSTAMP:20220926T200729Z
CREATED:20220909T192453Z
LAST-MODIFIED:20220926T200729Z
UID:38408-1665662400-1665666000@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
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20221013T150000
DTEND;TZID=America/Toronto:20221013T200000
DTSTAMP:20221005T181549Z
CREATED:20220914T192453Z
LAST-MODIFIED:20221005T181549Z
UID:38795-1665673200-1665691200@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:20221018T120000
DTEND;TZID=America/Toronto:20221018T130000
DTSTAMP:20220926T200729Z
CREATED:20220704T182650Z
LAST-MODIFIED:20220926T200729Z
UID:37913-1666094400-1666098000@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:20221019T123000
DTEND;TZID=America/Toronto:20221019T130000
DTSTAMP:20221018T220743Z
CREATED:20220824T165251Z
LAST-MODIFIED:20221018T220743Z
UID:38487-1666182600-1666184400@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:20221020T110000
DTEND;TZID=America/Toronto:20221020T120000
DTSTAMP:20220929T144006Z
CREATED:20220927T195752Z
LAST-MODIFIED:20220929T144006Z
UID:38941-1666263600-1666267200@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:20221026T120000
DTEND;TZID=America/Toronto:20221026T123000
DTSTAMP:20221025T222300Z
CREATED:20221005T215232Z
LAST-MODIFIED:20221025T222300Z
UID:39031-1666785600-1666787400@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:20221028T120000
DTEND;TZID=America/Toronto:20221028T130000
DTSTAMP:20221005T181710Z
CREATED:20221005T181656Z
LAST-MODIFIED:20221005T181710Z
UID:39016-1666958400-1666962000@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
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