2019 Machine Learning and Cancer Symposium

When: June 14, 2019, 8:00 am - 5:00 pm
Where: MIT Kresge Auditorium, 48 Massachusetts Ave. (Rear), W-16, Cambridge, MA

The 18th Annual Koch Institute Summer Symposium on June 14, 2019 at MIT’s Kresge Auditorium will focus on 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.

Learn more »

Connect With Us

Blog Facebook LinkedIn Twitter