The Fred Hutch AI Club brings together invited experts who generously share their research, practical experience, and perspectives on artificial intelligence and the future of human health.

Each entry below links to a dedicated page containing the talk abstract, speaker biography, recording, and any references supplied with the video.

This is not an official Fred Hutch page; all views expressed here belong to the individual expressing them.

Watch the complete AI Club playlist on YouTube

Talk archive

Trustworthy AI That Clinicians Will Use

Dr. Efstathia (Effie) Andrikopoulou - University of Washington
August 2026

Robot-Assisted Mental Wellbeing Assessment

Dr. Nida Abbasi — University of Cambridge
July 2026

Teaching AI to Read Medical History

Tom Fitzgerald — EMBL-EBI
June 2026

The Robot Teammate: How AI Is Changing Healthcare

Andrea Thomaz — Diligent Robotics
May 2026

AI for the Future of Cancer Care: Context, Complexity and Impact

Dr. Caroline Chung — MD Anderson
March 2026

Building Consensus for Responsible AI in Healthcare

Merage Ghane, PhD — CHAI
January 2026

Building Open, Accelerated Foundations for Molecular Science

Kyle Tretina, PhD — NVidia
December 2025

AI in Medicine: Opportunities, Challenges and Ethics

Dr. Girish Nadkarni — Mount Sinai
November 2025

The State of Global Healthcare Innovation

Dr. Ben Horner — Boston Consulting Group
October 2025

Prof. Michelle Mello — Stanford
September 2025

Foundation Models for Cancer Imaging Biomarkers

Suraj Pai — Mass General Cancer Center
July 2025

Scaled and Personalized: Navigating a New Era of Cyber Threats

Aman Ibrahim — DeepTrust
June 2025

Building Patient Journeys from Multimodal Clinical Data

David Talby, PhD — John Snow Labs
May 2025

Applications of Generative AI in Healthcare

Awanti Sambarey, PhD
April 2025

Medical Education Innovation with Generative AI

Taralyn (Tari) Tan, PhD — Harvard
March 2025

Clinical Decision Trees from Clinical Notes

Nilay Kulkarni — MIT Media Lab
February 2025

Safeguarding Society against Threats of AIxBio

Kevin Esvelt, PhD — MIT Media Lab
January 2025

Economics and Equity of Large Language Models

Radha Nagarajan, PhD — CHOC
November 2024

Multimodal Generative AI at the NIH

Dr. Susan Gregurick — NIH
October 2024

ICD Code Embeddings using LLMs

Michael Kane, PhD — Yale
September 2024

The Promise and Perils of AI in Medicine

Dr. William Weeks, MD, PhD, MBA — Microsoft
August 2024