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

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Discover how proteomics data analysis and bioinformatics tools enhance mass spectrometry workflows for robust findings.

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

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

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...