EurekAlert!

Computational methods revolutionize drug discovery by predicting protein target sites

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...
The University of Alabama at Birmingham

This “dopamine aficionado” is exploring new approaches to a Parkinson’s puzzle

In the lingo of the field, dopamine-producing cells are measuring a reward prediction error — the difference between the ...

AI model predicts drug toxicity using differences between animal models and humans

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of ...
News-Medical.Net

Machine learning advances human-centric drug toxicity prediction

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure.
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
IEEE

Heart Disease Prediction System using Ensemble Machine Learning Technique

Abstract: The traditional approach to prediction of heart disease using a limited set of essential physical signs from repetitive inspections is inadequate. Also, manual inspection and analysis of ...