By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.

By analyzing epigenomic and gene expression changes that occur in Alzheimer’s disease, researchers identify cellular pathways that could become new drug targets.

In addition to turning on genes involved in cell defense, the STING protein also acts as an ion channel, allowing it to control a wide variety of immune responses.

A new technology called RIBOmap can give researchers valuable insight into how protein production in animal and human tissue is altered in disease.

BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.

The first RNA-guided DNA-cutting enzyme found in eukaryotes, Fanzor could one day be harnessed to edit DNA more precisely than CRISPR/Cas systems.

MIT researchers characterize gene expression patterns for 22,500 brain vascular cells across 428 donors, revealing insights for Alzheimer’s onset and potential treatments.

By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.

Study reveals key cell structures and gene expression changes near amyloid plaques and tau tangles in mouse brain tissue.

Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.