Physics-Informed Neural Networks in Medicine
Offered By: DataLearning@ICL via YouTube
Course Description
Overview
Explore the application of Physics-Informed Neural Networks in Medicine through a comprehensive presentation by Marta Varela Anjari from Imperial College London. Delivered as part of the DataLearning working group's weekly meeting on September 13, 2022, this 57-minute talk delves into the intersection of data assimilation, machine learning, and medical science. Gain insights into how interdisciplinary researchers are developing innovative technologies that combine physical principles with neural networks to advance medical applications. Discover the potential impact of these cutting-edge approaches on healthcare and medical research. Suitable for researchers, students, and professionals interested in the convergence of physics, artificial intelligence, and medicine.
Syllabus
DataLearning: Physics-Informed Neural Networks in Medicine
Taught by
DataLearning@ICL
Related Courses
The Finite Element Method for Problems in PhysicsUniversity of Michigan via Coursera Computational Physics
Indian Institute of Science Education and Research, Pune via Swayam Manipulate Coulomb's Law Concepts using Wolfram notebook
Coursera Project Network via Coursera Lagrangian Coherent Structures in Unsteady Fluids with Finite Time Lyapunov Exponents
Steve Brunton via YouTube Changing Physics Education with Julia
The Julia Programming Language via YouTube