Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Applied physicists in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have discovered a new way ...

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 ...

Successful PAT implementation should start small, with the goal of integrating data into decision-making and fostering cross-functional collaboration.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...