In This Section

Program

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

Friday, July 11

Saturday, July 12

Thursday, July 10

WELCOME AND Opening Keynote Lectures

6:30-7:15 p.m.

  • 6:30 p.m. | Welcome and Introduction of Keynote Speaker
  • 6:35 p.m. | Computational approaches to mapping cells, tissues, and tumor progression: Where does AI help?  
    Dana Pe’er, Memorial Sloan Kettering Cancer Center, New York, New York

poster session A/ Opening Reception

7:30-9 p.m.

Friday, July 11

Continental Breakfast and networking roundtables

7-8 a.m.

Keynote Lecture 2

8-8:45 a.m.

  • 8 a.m. | Introduction of Keynote Speaker
  • 8:05 a.m.
    Marinka Zitnik, Harvard University, Boston, Massachusetts  

Plenary Session 1: ML/AI for Drug Discovery, Repurposing, and Response Prediction

8:50-10:10 a.m.

  • 8:50 a.m. | Supporting anticancer drug discovery by knowledge graph mining and cancer target-focused cheminformatics modeling 
    Alexander Tropsha, University of North Carolina, Chapel Hill, North Carolina
  • 9:20 a.m.
    Charlotte Bunne, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland 

Short talks selected from proffered abstracts

Break

10:10-10:25 a.m.

Plenary Session 2: ML/AI for Genomic and Temporal Predictions

10:25-11:45 a.m.

  • 10:25 a.m.
    Samantha Riesenfeld, University of Chicago, Pritzker School of Molecular Engineering, Chicago, Illinois
  • 10:55 a.m.
    Raul Rabadan, Columbia University Irving Medical Center, New York, New York

Short talks selected from proffered abstracts

Break

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

AI Synergy Forum: Fostering Innovation Through Collaboration

12-12:45 p.m.

  • Theme 1: Open science: Data and code sharing and reusability
    Shirin A. Enger, McGill University, Montreal, Quebec, Canada
  • Theme 2: AI using non/minimally invasive modalities for cancer applications
    Florian Markowetz, Cancer Research UK Cambridge Institute, Cambridge, United Kingdom
  • Theme 3: Monitoring model performance/drift in research and clinical settings  
  • Theme 4: To be announced
    Skye Bork, PACT AI

Additional details to be announced 

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.

  • 2:15 p.m.
    Christina Curtis, Stanford University, Stanford, California
  • 2:45 p.m. | Alignment and integration of spatial multi-omics tumor profiles 
    Ben Raphael, Princeton University, Princeton, New Jersey
  • 3:15 p.m. | Inferring genomic properties and histologic subtypes of solid tumors from H&E whole-slide images
    Kevin Boehm, MSKCC, New York, New York

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.

  • 3:50 p.m. | Uncovering and mitigating bias in auto-segmentation models in radiation oncology 
    Benjamin Haibe-Kains, UHN Princess Margaret Cancer Centre, Toronto, ON, Canada  
  • 4:50 p.m. | A practical framework for operationalizing responsible and equitable AI in healthcare: Tackling bias, inequity, and implementation challenges
    Benjamin Grant, Cancer Digital Intelligence, Princess Margaret Cancer Centre, Toronto, ON, Canada  

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. | Evaluating and overseeing large language models for oncology
    Danielle S. Bitterman, Harvard Medical School, Boston, Massachusetts
  • 6:25 p.m. | Learning the language of somatic mutations: A large language model approach to precision oncology
    John-William Sidhom, Weill Cornell Medicine, New York, New York

poster session B/ reception

7-9 p.m.

Saturday, July 12

Continental Breakfast and networking roundtables

7-8 a.m.

Keynote lecture 3

8-8:45 a.m.

  • 8 a.m. | Introduction of Keynote Speaker
  • 8:05 a.m. | Accelerating oncology drug discovery with the power of microscopy and 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.
    Eytan Ruppin, National Cancer Institute, Bethesda, Maryland
  • 9:50 a.m. | Analysis of pathologists’ intraobserver, interobserver and AI agreement in breast cancer HER2 scoring: AI-assessed intra-sample tumor heterogeneity relates to lower agreement among pathologists and with AI
    Pedro Simonis S. M. Ferrari, D’Or Institute of Research & Education, São Paulo, Brazil

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
  • 11:20-11:35 a.m. | Automated segmentation pipeline for radiological imaging using UniverSeg and similarity-guided support set retrieval
    Niket Patel, Drexel University College of Medicine, Philadelphia, Pennsylvania

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. | The impact of bringing complex data to the point of care 
    Casey Greene, University of Colorado, Aurora, Colorado

Closing Remarks

1:20 p.m.