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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;TZID=America/Toronto:20231020T110000
DTEND;TZID=America/Toronto:20231020T120000
DTSTAMP:20230928T144837Z
CREATED:20230928T144837Z
LAST-MODIFIED:20230928T144837Z
UID:10000292-1697799600-1697803200@bme.utoronto.ca
SUMMARY:Driving Innovation with Real-World Evidence from Patient Generated Content
DESCRIPTION:On October 20th\, CARTE Industry Speaker Seminar Series welcomes Dr. Ali Vahit Esensoy\, Vice President\, Data Sciences at Klick Consulting. \nTitle: Driving Innovation with Real-World Evidence from Patient Generated Content \nSpeaker: Dr. Ali Vahit Esensoy\, Vice President\, Data Science at Klick Consulting \nModerator: Professor Michael W. Carter\, \nDate and Time: Friday\, October 20\, 2023 (12:00 – 1:00 PM EST) \nLocation: Myhal Centre for Engineering Innovation & Entrepreneurship (55 St. George Street)\, Room 380 \nAbstract: Real-world evidence (RWE) is increasingly important for finding innovation opportunities and bringing novel healthcare solutions to market. Insights sourced from novel data streams like social media and patient discussions can be critical to build and launch the right solutions. Advances in machine learning have simplified tapping into non-standard data for clinically relevant patient insights.  In this talk\, we will present case studies of generating RWE from a range of novel data with the goal of expanding the RWE toolkit for innovation programs in healthcare. \nSpeaker Bio: Ali Vahit is a senior leader in the Klick Consulting team and leverages over 15 years of experience in health data science to help clients build solutions to address clinical and business challenges while pursuing growth. He has extensive practical experience in building advanced analytics solutions spanning various care sectors for consumer health\, digital therapeutics\, chronic diseases\, diagnostic imaging\, emergency medicine\, and mental health. These solutions were used to evaluate the clinical and economic effectiveness of preventive health programs\, predict clinical needs at the patient level\, and optimize commercial and operational outcomes. Ali holds Master’s and PhD degrees in Industrial Engineering and continues to be active in research and teaching as adjunct faculty in the Dalla Lana School of Public Health at the University of Toronto. \nAll are welcome to attend. No registration required.
URL:https://bme.utoronto.ca/event/driving-innovation-with-real-world-evidence-from-patient-generated-content/
LOCATION:Myhal Centre for Engineering Innovation & Entrepreneurship\, 55 St George St.\, Toronto\, Ontario\, M5S 0C9\, Canada
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DTSTART;TZID=America/Toronto:20230929T120000
DTEND;TZID=America/Toronto:20230929T140000
DTSTAMP:20230911T193735Z
CREATED:20230911T193735Z
LAST-MODIFIED:20230911T193735Z
UID:10000282-1695988800-1695996000@bme.utoronto.ca
SUMMARY:CARTE 2023 Student Networking Event
DESCRIPTION:Attention University of Toronto students: Join us for an in-person networking event to learn from your peers about opportunities to get involved in Analytics/Artificial Intelligence/Machine Learning research projects. \nConfirmed speakers include: \n\nNadia Muhe\, Statistical Support Specialist at UofT’s Map and Data Library\nSoumita Ghosh\, Eric and Wendy Schmidt AI in Science Postdoctoral Fellow at UofT\nPreet Mistry\, Data Sciences Institute (DSI) Summer Undergraduate Data Science (SUDS) Scholar\nGemma Postill and Abhishek Moturu\, Student Education Co-Leads at UofT Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM)\nWilliam Gao\, Transform Heart Failure Trainee Awardee\nBilal Taha\, Schwartz Reisman Institute for Technology and Society Graduate Fellow\nSreeja Guhan\, MITACS Accelerate Intern in Analytics/Artificial Intelligence/Machine Learning\nNimit Bhanshali and Richard Shuai\, UofT Machine Intelligence Student Team (UTMIST) Co-Presidents\nMai Ali\, Indigenous and Black Engineering and Technology (IBET) Momentum Fellow\n\nThis is an in-person event at the University of Toronto St. George campus. Capacity is limited and free registration is required. To register\, please fill out this form. Location will be shared with confirmed registrants.
URL:https://bme.utoronto.ca/event/carte-2023-student-networking-event/
LOCATION:Myhal Centre for Engineering Innovation & Entrepreneurship\, 55 St George St.\, Toronto\, Ontario\, M5S 0C9\, Canada
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DTSTART;TZID=America/Toronto:20230203T120000
DTEND;TZID=America/Toronto:20230203T130000
DTSTAMP:20230103T192759Z
CREATED:20230103T192757Z
LAST-MODIFIED:20230103T192759Z
UID:10000172-1675425600-1675429200@bme.utoronto.ca
SUMMARY:OncoSim – A Free Cancer Simulation Tool to Advance Cancer Control
DESCRIPTION:CARTE Industry Speaker Seminar Series welcome Jean Yong and Dr. Rochelle Garner\, for an in-person industry speaker seminar. \nTopic: OncoSim – A Free Cancer Simulation Tool to Advance Cancer Control \nDate and Time: Friday Feb 3\, 2023 (12:00 – 1:00 PM EST) \nSpeakers: Jean Yong (Canadian Partnership Against Cancer) and Dr. Rochelle Garner (Statistics Canada) \nRegistration: Please register by filling out this form. Capacity is limited. Please register early to avoid disappointment. \nVenue: Sandford Fleming Building (10 King’s College Rd\, Toronto\, ON M5S 3G4)\, Room 3201 \nAbstract: Simulation models are essential tools for evaluating healthcare interventions; however\, developing these complex models is resource-intensive\, and the results may not be timely for informing policy decisions. OncoSim is the only cancer simulation tool that is available for free to users; they can modify the model inputs to answer their policy questions. Combining Canadian data from the real world\, expert opinion and clinical trials\, OncoSim projects health and economic outcomes and attributes them to 19 risk factors\, such as smoking and physical inactivity. OncoSim currently models four cancer sites and related screening programs in detail (breast\, colorectal\, lung and cervical cancers) and provides high-level projections for 25 other cancer sites. OncoSim’s projections have helped inform cancer control planning decisions across Canada. In this presentation\, we will introduce OncoSim and share our experience in developing and maintaining a cancer simulation tool aimed at informing policy decisions. \nLearning Objectives: \n\nTo learn about OncoSim – a microsimulation model built with Canadian data to inform cancer control policy decisions\nTo learn about the experience of developing and maintaining disease-based simulation models (how are they different than the conventional models built to answer one specific question?)\n To learn about the successes and challenges in keeping disease-based models useful for policymakers\n\n  \nSpeakers Bios: \nJean Yong: Jean completed her training in Operations Research and Health Economics at the University of Toronto. She has more than 15 years’ experience in generating evidence to inform healthcare resource allocation decisions. In addition to developing Markov models for health technology assessments\, she has worked on a discrete event simulation model to manage surgical resources\, a data portal and a spatial web application for infectious disease planning\, and disease-based simulation models built to answer different policy questions. \nRochelle Garner: Rochelle received her doctorate in epidemiology from McMaster University in 2007. She started her post-doctoral career conducting population health research in the Health Analysis Division at Statistics Canada\, with a particular focus on statistical methods and novel analytic approaches. She is presently the manager of the Microsimulation and Modelling Section in the Heath Analysis Division at StatCan\, where her team develops and maintains microsimulation models\, including OncoSim and POHEM\, and other epidemiological and predictive models.
URL:https://bme.utoronto.ca/event/oncosim-a-free-cancer-simulation-tool-to-advance-cancer-control/
LOCATION:Sandford Fleming Building\, 10 King's College Rd\, Toronto\, Ontario\, M5S 3G4\, Canada
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DTSTART;TZID=America/Toronto:20230119T130000
DTEND;TZID=America/Toronto:20230119T140000
DTSTAMP:20230103T192722Z
CREATED:20230103T192721Z
LAST-MODIFIED:20230103T192722Z
UID:10000171-1674133200-1674136800@bme.utoronto.ca
SUMMARY:Building a Leading Digital Healthcare Platform with Data and AI
DESCRIPTION:CARTE Industry Speaker Seminar Series welcomes Brandon Rufino\, Ingrid Grozavu\, Kartik Pant\, Nitesh Soni\, and Dimitrije Jankovic from Sanofi’s AI Center of Excellence for an in-person industry speaker seminar. \nTopic: Building a Leading Digital Healthcare Platform with Data and AI \nDate and Time: Thursday\, January 19\, 2023 (1:00 – 2:00 PM EST) \nRegistration: Please register through this link. Capacity is limited. Please register early\, and if applicable with your University of Toronto email address\, to get priority access to this event. \nVenue: Bahen Building (40 St. George Street\, Toronto\, M5S 2E4)\, Room 1200 \nAbstract: AI has the power to transform the pharmaceutical industry from increasing research precision\, to improving safety for patients\, and advancing science. As a part of their mission to chase the miracles of science\, Sanofi’s AI Center of Excellence opened in Toronto in 2022. Now a year old and a part of the global Digital Data team\, the team is developing critical products in research\, clinical development\, manufacturing\, supply chain and corporate that are being deployed across Sanofi’s 100+ markets. The team will share an overview of the critical business problems being solved\, along with the AI and analytical techniques done to get there\, as well as their Machine Learning Operations platform that helps the team achieve speed and scale with appropriate compute and controls. A deep dive will be done on techniques used for indication identification for clinical data\, yield optimization in manufacturing sites and next best action engines. \nSpeaker Bios:  \nBrandon Rufino: Brandon is a computational science lead on the Integrative Clinical Data program that provides ML models to accelerate clinical trial design along several steps within the Development cycle. Brandon is a Biomedical Engineering by training\, and has built several digital applications and machine learning models working with clinical and health care data throughout his academic and industry journey. \nIngrid Grozavu: Ingrid is a project manager on the computational science team that builds ML models to enhance drug development (R&D) activities at Sanofi. Ingrid is a biochemist by training\, and recently completed her PhD at U of T in high throughput and AI-driven cancer drug discovery. \nKartik Pant: Kartik is Sanofi’s Head of Industrial Affairs Data and AI Solutions in the Global Digital Data team. He is responsible for driving value across Sanofi’s Manufacturing sites and Supply Chain through build and implementation of cutting-edge AI solutions and robust data foundations. Kartik has prior experience in delivering innovative Digital solutions to drive large-scale transformation and value generation in Operations across Healthcare\, CPG\, Automotive industries. \nNitesh Soni: Nitesh is a Data Science & AI commercial leader in the Global Digital Data Toronto hub. He brings several years of experience of building end-to-end AI solutions in multiple industries. Few examples of his current focused areas are to provide Best-in-class customer experience\, recommending AI driven communications to HCPs\, augment to data-driven marketing strategies and  help in modernize corporate function areas. He leads a data science team distributed across North America and Europe. \nDimitrije Jankovic: Dimitrije is Sanofi’s Head of Data and AI Strategy\, responsible for innovation\, ecosystems\, strategy\, transformation and the portfolio management office within Sanofi’s Global Digital Data team. Dimitrije is an engineer by training\, with experience in leading large scale transformations in data and AI across various industries including healthcare\, transportation\, telecommunications and public sector. \n 
URL:https://bme.utoronto.ca/event/building-a-leading-digital-healthcare-platform-with-data-and-ai/
LOCATION:Bahen Centre\, 40 St George St\, Toronto\, Ontario\, M5S 2E4\, Canada
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DTSTART;TZID=America/Toronto:20230118T210000
DTEND;TZID=America/Toronto:20230118T220000
DTSTAMP:20230103T192511Z
CREATED:20230103T192508Z
LAST-MODIFIED:20230103T192511Z
UID:10000170-1674075600-1674079200@bme.utoronto.ca
SUMMARY:Knowledge-Based Planning: Prediction\, Optimization\, and Open-Access Advances
DESCRIPTION:The Joint CARTE (University of Toronto) and University of Seoul Applied AI seminar series welcomes Professor Timothy Chan. \nRegistration: Please register through here. \nAbstract: In this talk\, I will present recent work our group has done in knowledge-based planning\, including the development of dose prediction and optimization models. I will also discuss the organization and results of the Open Knowledge-Based Planning Challenge (OpenKBP)\, an AAPM-sponsored international competition to compare dose prediction models on a large open-access dataset of head-and-neck cancer patients. Finally\, I will present follow-up work from an international collaboration that extends OpenKBP to include plan optimization. \nBio: Timothy Chan is the Associate Vice-President and Vice-Provost\, Strategic Initiatives of the University of Toronto\, the Canada Research Chair in Novel Optimization and Analytics in Health\, a Professor in the department of Mechanical and Industrial Engineering\, and a Senior Fellow of Massey College. His primary research interests are in operations research\, optimization\, and applied machine learning\, with applications in healthcare\, medicine\, sustainability\, and sports. He received his B.Sc. in Applied Mathematics from the University of British Columbia (2002)\, and his Ph.D. in Operations Research from the Massachusetts Institute of Technology (2007). Before coming to Toronto\, he was an Associate in the Chicago office of McKinsey and Company (2007-2009)\, a global management consulting firm. During that time\, he advised leading companies in the fields of medical device technology\, travel and hospitality\, telecommunications\, and energy on issues of strategy\, organization\, technology and operations.
URL:https://bme.utoronto.ca/event/knowledge-based-planning-prediction-optimization-and-open-access-advances/
LOCATION:Online
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