Data Driven Biomedical Applications of AI

Data Driven Biomedical Applications of AI

Events are open to industry, faculty and post docs - please register to attend to ensure there is enough pizza for everyone!

The goals of the events are to: 

• Connect researchers to promote interdisciplinary research team building and be proactive for major grant opportunities.
• Provide a venue to highlight Waterloo’s research and understand the challenges faced and being pursued by industry.

How can AI can be used to support patient care and system improvements?

Theme applications include:

• Intelligent telemetry for improving monitoring and home care support for patients and families and healthcare providers
• Natural language processing of medical records to identify probability of cancer recurrence
• Personalized transfer learning
• Computational models of emotional alignment between older adults with dementia, care partners, and technological assistants
• Multi-sensor integration and IoT for community health

Keynote speaker:

• Yuri Quintana, Ph.D., Chief of the Division of Clinical Informatics, Beth Israel Deaconess Medical Center and Assistant Professor of Medicine at the Harvard Medical School

University of Waterloo Speakers

• Mohammad Kohandel, Applied Mathematics
• Helen Chen, School of Public Health and Health Systems
• Pascal Poupart, Computer Science
• Plinio Morita, School of Public Health and Health Systems
• Moojan Ghafurian, Post-doc, Computer Science

Industry Speakers

• Baozhen Shan, Bioinformatics Solutions
• Colin Phipps  - AbbVie
• Fernando Suarez – IBM (Watson Health)

Agenda and more details can be found on our Faculty Research Networking Events page.

For information on other events - please join the mail list and select the discussion groups/networking events you're interested in attending or visit the Faculty Research Networking Events page.