YoVDO

Physics-Constrained AI Framework for Cancer Cell Migration

Offered By: MICDE University of Michigan via YouTube

Tags

Artificial Intelligence Courses Machine Learning Courses Microbiology Courses Oncology Courses Immunology Courses Radiology Courses Biomedical Engineering Courses Cell Biology Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a cutting-edge physics-constrained AI framework for cancer cell migration in this 24-minute lecture by Gary Luker, Professor of Radiology, Biomedical Engineering, Microbiology, and Immunology at the University of Michigan. Delve into the innovative approach that combines artificial intelligence with physical constraints to better understand and predict cancer cell movement. Gain insights into how this interdisciplinary research could potentially revolutionize cancer treatment strategies and enhance our comprehension of tumor progression.

Syllabus

Gary Luker: A physics-constrained AI framework for cancer cell migration


Taught by

MICDE University of Michigan

Related Courses

Preparation for Introductory Biology: DNA to Organisms
University of California, Irvine via Coursera Programmed cell death
Ludwig-Maximilians-Universität München via Coursera Inside Cancer: How Genes Influence Cancer Development
University of Bath via FutureLearn Human Physiology
The University of Oklahoma via Janux AP® Biology - Part 1: The Cell
Rice University via edX