The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made ...

Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

Explore the fundamental role of mathematics in Artificial Intelligence and Machine Learning. Understand how linear algebra, ...

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the scientific journal ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...