When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

On Sunday, April 14, students participating in Cornell’s Microbiome Hackathon wrapped up 28 hours of work by showing off their creations which included an app to predict one’s risk of neurological ...

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...

Sponsors and CROs can better prepare for clinical trials using systems biology techniques, according to Canadian AI company My Intelligent Machines (MIM). The software-as-a-service firm, which helps ...

DOME is a set of community-wide recommendations for reporting supervised machine learning–based analyses applied to biological studies. Broad adoption of these recommendations will help improve ...

There has been a lot of coverage of machine learning (ML) for biological research, for radiology, and for other uses where the direct users are academics, researchers, and medical professionals.

Determining the 3D shapes of biological molecules is one of the hardest problems in modern biology and medical discovery. Companies and research institutions often spend millions of dollars to ...

The Broad Institute of MIT and Harvard announced Thursday the launch of the Eric and Wendy Schmidt Center, which will aim to promote human health by integrating machine learning and the life sciences.

Scientists have developed a new tool that adapts machine learning algorithms to the needs of synthetic biology to guide development systematically. The innovation means scientists will not have to ...

Researchers have combined synthetic biology with a machine learning algorithm to create human liver organoids with blood and bile handling systems. When implanted into mice with failing livers, the ...