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DTSTART;TZID=America/Toronto:20230118T120000
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CREATED:20220818T154345Z
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UID:10000003-1674043200-1674046800@bme.utoronto.ca
SUMMARY:Student Town Hall Meeting for Clinical Stream (Virtual)
DESCRIPTION:
URL:https://bme.utoronto.ca/event/student-town-hall-meeting-for-clinical-stream/
LOCATION:Zoom
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
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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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20230119T120000
DTEND;TZID=America/Toronto:20230119T130000
DTSTAMP:20230117T193836Z
CREATED:20220818T154625Z
LAST-MODIFIED:20230117T193836Z
UID:10000004-1674129600-1674133200@bme.utoronto.ca
SUMMARY:Student Town Hall Meeting for Cell & Tissue Stream (Virtual)
DESCRIPTION:
URL:https://bme.utoronto.ca/event/student-town-hall-meeting-for-cell-tissue-stream/
LOCATION:Zoom
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
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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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20230120T120000
DTEND;TZID=America/Toronto:20230120T130000
DTSTAMP:20230117T192119Z
CREATED:20220818T155911Z
LAST-MODIFIED:20230117T192119Z
UID:10000005-1674216000-1674219600@bme.utoronto.ca
SUMMARY:Student Town Hall Meeting for Molecular Stream (Virtual)
DESCRIPTION:
URL:https://bme.utoronto.ca/event/student-town-hall-meeting-for-molecular-stream/
LOCATION:Zoom
CATEGORIES:Graduate Seminar Series
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