AI for Multimodal Data, Presented by Members of the Strategic and Data Science Initiatives, Frederick National Laboratory for Cancer Research

Length
One hour
Presenters
George Zaki, PhD
Pinyi Lu, PhD
Description

Topic: Building Predictive Models from Multimodal Data Using Machine Learning

This talk highlights two examples for building predictive models from multi modal data.

  • The first example predicts dose response in cell lines based on drug and molecular features.
  • The second example shows how to combine pathology from whole slide images and molecular features for cancer diagnosis and prognosis.
Tags
Seminar
General AI Learning Materials
Date

September 23, 2021