ncibtep@nih.gov

Bioinformatics Training and Education Program

Artificial Intelligence in Epidemiology: Tools & New Technologies for Cohort Studies

Artificial Intelligence in Epidemiology: Tools & New Technologies for Cohort Studies

 When: May. 28th, 2026 11:00 am - 12:30 pm

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Learning Level: Any

To Know

Where:
Online
Organizer:
NCI Cohort Consortium
Presented By:
Daniel Adams MD MS (The Institute of Cancer Research), Shant Ayanian MD MS (Mayo Clinic), Travis Gerke ScD (The Prostate Cancer Clinical Trials Consortium), Elena Myasoedova MD PhD (Mayo Clinic)
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About this Class

Join the NCI Cohort Consortium for a forward-looking webinar on applying artificial intelligence to cohort research studies, featuring practical approaches to federated data analysis, foundational model strategies, and methods for leveraging unstructured clinical records to support secure, multi-institutional studies.

Drs. Daniel Adams, Elena Myasoedova, Shant Ayanian, and Travis Gerke will discuss real world workflows, machine learning, and decision points for AI-enabled epidemiology and collaborative cohort analyses.

This webinar is part of the Cohort Consortium series. For more information visit https://epi.grants.cancer.gov/cohort-consortium/cohort-events.html

Individuals with disabilities who need reasonable accommodation to participate in this event should contact NIHCohortConsortium@mail.nih.gov at least 7 business days before the webinar.