Findings may help predict how rain and irrigation systems launch particles and pathogens from watery surfaces, with implications for industry, agriculture, and public health.

Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.

Studying the pathogen R. parkeri, researchers discovered the first evidence of extensive and stable interkingdom contacts between a pathogen and a eukaryotic organelle.

Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.

Using high-powered lasers, this new method could help biologists study the body’s immune responses and develop new medicines.

Chronic diseases like diabetes are prevalent, costly, and challenging to treat. A common denominator driving them may be a promising new therapeutic target.

New research reveals what it takes for a protein that is best known for protecting cells against death to take on the opposite role.

The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.

A new gene-silencing tool shows promise as a future therapy against prion diseases and paves the way for new approaches to treating disease.

A microneedle patch that delivers immune-regulating molecules can teach T cells not to attack hair follicles, helping hair to regrow.