Summer Symposium 2019
Machine Learning and Cancer
The 18th Annual Koch Institute Summer Symposium on June 14, 2019 at MIT's Kresge Auditorium will focus on Machine Learning and Cancer.
Both fields are undergoing dramatic changes, and their integration holds great promise for cancer research, diagnostics, and therapeutics. Cancer treatment and research have advanced rapidly with an increasing reliance on data-driven decisions. The volume, complexity, and diversity of research and clinical data—from genomics and single-cell molecular and image-based profiles to histopathology, clinical imaging, and medical records—far surpasses the capacity of individual scientists and physicians. However, they offer a remarkable opportunity to new approaches for data science and machine learning to provide holistic and intelligible interpretations to trained experts and patients alike. These advances will make it possible to provide far better diagnostics, discover possible chemical pathways for de novo synthesis of therapeutic compounds, predict accurately the risk of individuals for development of specific cancers years before metastatic spread, and determine the combination of agents that will stimulate immune rejection of a tumor or selectively induce the death of all cells in a tumor.
The symposium will address these issues through three sessions:
- Machine Learning in Cancer Research: the Need and the Opportunity
- Machine Learning to Decipher Cellular and Molecular Mechanisms in Cancer
- Machine Learning into the Clinic
Sessions will be followed by a panel discussion of broadly informed experts moderated by MIT President Emerita Susan Hockfield.
Introductory remarks will be given by symposium co-chairs and Koch Institute faculty members Regina Barzilay, Aviv Regev and Phillip Sharp.
Keynote Speakers | Machine Learning in Cancer Research: the Need and the Opportunity
James P. Allison, PhD
MD Anderson Cancer Center
Regina Barzilay, PhD
MIT Computer Science and Artificial Intelligence Lab, Koch Institute for Integrative Cancer Research at MIT
Aviv Regev, PhD
Broad Institute, Koch Institute for Integrative Cancer Research at MIT
Session Speakers
Michael R. Angelo, MD, PhD
Stanford Unviersity
Andrew Beck
PathAI
Stephen H. Friend, MD, PhD
Sage Bionetworks
Tommi Jaakkola, PhD
MIT Computer Science and Artificial Intelligence Lab
Dana Pe’er, PhD
Memorial Sloan Kettering Cancer Center
Peter Sorger, PhD
Harvard Medical School
Olga Troyanskaya, PhD
Princeton University
Brian Wolpin, MD
Dana-Farber Cancer Institute
Panel Discussion | Big Data, Computation and the Future of Health Care
James (Jay) Bradner, MD
Novartis
Aine Hanly, PhD
Amgen
Clifford A. Hudis, MD
American Society of Clinical Oncology
Constance D. Lehman, MD, PhD
Massachusetts General Hospital
Norman (Ned) Sharpless, MD
National Cancer Institute
Moderator: Susan Hockfield, PhD
Koch Institute for Integrative Cancer Research at MIT