Please note that this meeting will take place as an in-person event in Montreal and will not live-stream content for virtual participation. The meeting content will be recorded and made available as an on-demand program after the conference.

All presentations are scheduled to be live, in-person presentations at the date and time specified below unless noted otherwise. Program in progress.

Thursday, July 10

• Welcome and Opening Keynote Lectures

Friday, July 11

• Keynote Lecture 2
• Plenary Session 1: ML/AI for Drug/Hit Discovery
• Plenary Session 2: ML/AI for Drug Response Prediction and Drug Repurposing
• Collaborative and Interactive Session
• Plenary Session 3: Multimodal AI for Clinical Applications in Oncology
• Plenary Session 4: Bias and Fairness in AI Research and Deployed Models
• Plenary Session 5: Cancer Applications of Foundation Models 

Saturday, July 12

• Keynote Lecture 3
• Plenary Session 6: ML/AI for Single Cell and Spatial Data, H&E, and Molecular Biomarker Discovery
• Plenary Session 7: ML/AI for Radiological Imaging
• Plenary Session 8: How Do We Make AI Research Better for Society
• Closing Remarks

WELCOME AND Opening Keynote Lectures

6:30-7:15 p.m.

Opening Reception

7:30-9 p.m.

Continental Breakfast and networking roundtables

7-8 a.m.

Keynote Lecture 2

8-8:45 a.m.

• 8:05 a.m.
  Marinka Zitnik, Harvard University, Boston, Massachusetts  

Plenary Session 1: ML/AI for Drug/Hit Discovery

8:50-10:10 a.m.

• 9:20 a.m.
  Alexander Tropsha, University of North Carolina, Chapel Hill, North Carolina

Additional speakers to be announced

Break

10:10-10:25 a.m.

Plenary Session 2: ML/AI for Drug Response Prediction and Drug Repurposing

10:25-11:45 a.m.

• 10:25 a.m.
  Charlotte Bunne, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland 

Additional speakers to be announced

Break

11:45 a.m.-12 p.m.

Collaborative and Interactive Science Session

12-12:45 p.m.

Free time/lunch on own

12:45-2:15 p.m.

Plenary Session 3: Multimodal AI for Clinical Applications in Oncology

2:15-3:45 p.m.

• 2:45 p.m.
  Ben Raphael, Princeton University, Princeton, New Jersey

Additional speakers to be announced

Break

3:35-3:50 p.m.

Plenary Session 4: Bias and Fairness in AI Research and Deployed Models

3:50-5:05 p.m.

• 4:20 p.m.
  Irene Chen University of California, Berkeley, California

Additional speakers to be announced

Break

5:10-5:25 p.m.

Plenary Session 5: Cancer Applications of Foundation Models 

5:25-6:35 p.m.

• 5:25 p.m.
  Valentina Boeva, ETH Zurich, Zurich, Switzerland
• 5:55 p.m.
  Danielle S. Bitterman, Harvard Medical School, Boston, Massachusetts  

Additional speakers to be announced

poster session/reception

7-9 p.m.

Continental Breakfast and networking roundtables

7-8 a.m.

Keynote lecture 3

8-8:45 a.m.

• 8:05 a.m. | Accelerating oncology drug discovery with the power of microscopy & AI 
  Anne Carpenter, Broad Institute, Cambridge, Massachusetts

Plenary Session 6: ML/AI for Single Cell and Spatial Data, H&E, and Molecular Biomarker Discovery

8:50-10:10 a.m.

• 8:50 a.m.
  Elana J. Fertig, University of Maryland, Baltimore, Maryland
• 9:20 a.m.
  Ruppin Eytan, National Cancer Institute, Bethesda, Maryland

Additional speakers to be announced

Break

10:10-10:20 a.m.

Plenary Session 7: ML/AI for Radiological Imaging

10:20-11:40 a.m.

• 10:20 a.m.
  Catherine Coolens, University Health Network, Toronto, Ontario, Canada
• 10:50 a.m.
  Caroline Chung, UT MD Anderson Cancer Center, Houston, Texas

Break

11:40-11:50 a.m.

Plenary Session 8: How do we make AI research better for society

11:50 a.m.-1:20 p.m.

• 11:50 a.m.
  Marzyeh Ghassemi, Massachusetts Institute of Technology, Cambridge, Massachusetts  
• 12:20 p.m.
  Jeff Leek, Fred Hutchinson Cancer Center, Seattle, Washington
• 12:50 p.m.
  Casey Greene, University of Colorado, Aurora, Colorado

Closing Remarks

1:20 p.m.