Position: Biology is the Challenge Physics-Informed ML Needs to Evolve
PositiveArtificial Intelligence
A recent study highlights the potential of Physics-Informed Machine Learning (PIML) to revolutionize biological modeling. While PIML has thrived in physics, applying it to biology presents unique challenges due to the complexity and uncertainty of biological systems. This research is significant as it opens new avenues for understanding biological processes, which could lead to advancements in healthcare and environmental science.
— Curated by the World Pulse Now AI Editorial System

