ncibtep@nih.gov

Bioinformatics Training and Education Program

Building Predictive Models From Multimodal Data Using Machine Learning

Building Predictive Models From Multimodal Data Using Machine Learning

 When: Sep. 23rd, 2021 1:00 pm - 2:00 pm

To Know

Where:
Online Webinar
Organizer:
BTEP
Presented By:
George Zaki (FNLCR), Pinyi Lu (FNLCR)
This class has ended.
Video Archive *Class recordings may take ~48 hours to become available.

About this Class

Meeting Link: https://cbiit.webex.com/cbiit/j.php?MTID=m5fa0e43ae167ed5ea3a77fb25d339a82 TOPIC: AI for Multimodal Data, presented by members of the Strategic Data Science Initiative, Frederick National Laboratory for Cancer Research In this talk, we will highlight 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 will show how to combine pathology from whole slide images and molecular features for cancer diagnosis and prognosis.