8:00 a.m. – 4:15 p.m., University of Utah Alumni House

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Personalized medicine promises to deliver the right treatment to the right patient at the right price. Artificial intelligence (AI) and machine learning (ML) have the potential to accelerate discoveries and the implementation of personalized medicine. To maximize the potential of AI and ML, researchers and healthcare providers will need to obtain data from large patient cohorts and apply the latest AI and ML algorithms and techniques. Please join nationally-renowned experts in personalized medicine, AI & ML, computer science, genomics, epidemiology, regulatory science and bioethics at this full-day Symposium. Our invited speakers will cover a range of topics from the complexities of expansive research cohorts (e.g., the All of Us research program) to cutting-edge computational techniques.

Each session in this full-day symposium features a panel-based format designed to incite lively dialogue and audience participation. This unique event is free and open to all members of the university community and the public.

Agenda

8:00-9:00 – Breakfast and Registration         

9:00-9:10 – Opening Remarks
Willard Dere, MD, University of Utah Health & Jorge Contreras, JD, University of Utah

9:10-10:10 – Opening Keynote Session: Assembling Large Cohorts for Precision Medicine

Moderated by Willard Dere, MD, University of Utah Health

9:10-9:55           Lon Cardon, PhD, BioMarin Pharmaceutical
9:55-10:10         Questions/Discussion

10:10-10:30 -Break

10:30-12:00 – ELSI Issues in Assembling Large Cohorts for Precision Medicine

Moderated by Jorge Contreras, JD, University of Utah                                                         

10:30-10:45        Laura Lyman Rodriguez, PhD, NHGRI
10:45-11:00       Jim Tabery, PhD, University of Utah
11:00-11:15        Kyle Brothers, MD, PhD, University of Louisville
11:15-11:30        Kim Kaphingst, ScD, University of Utah
11:30-12:00        Questions/Panel Discussion

12:00-1:30 – Lunch

1:30-4:00 – The Role Of AI/Deep Learning in Genetic Analyses and Phenotyping of Large Cohorts

Moderated by Mark Yandell, PhD, University of Utah Health

1:30-1:45           Mark Yandell, PhD, University of Utah Health
1:45-2:15           Jenna Wiens, PhD, University of Michigan
2:15-2:45           Steve Mutkoski, Microsoft
2:45-3:15           Nicola Camp, PhD, Huntsman Cancer Institute, University of Utah Health
3:15-4:00           Questions/ Panel Discussion

4:00-4:15 – Closing Remarks
Willard Dere, MD, University of Utah Health & Jorge Contreras, JD, University of Utah