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 ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

The emergence of artificial intelligence programs like ChatGPT, which can create complex content that resembles human creativity, was made possible by converging huge amounts of data available online ...

Researchers now have thousands of new DNA mutations to study as possible causes of autism, thanks to an artificial intelligence-powered technique described in a study published May 27 in Nature ...

The Mystra platform, developed over 10 years, offers biopharma partners proven analytical power to turn months of R&D into minutes, dramatically increasing the availability of quality genetic insights ...

AI can process diverse data sources—ranging from medical images to genetic information to patient voice recordings—to help doctors make more informed decisions. While processing this data individually ...

The hottest trend on the horizon for artificial intelligence (AI) is agentic AI, according to Jason Moore, Ph.D., chair of the Department of Computational Biomedicine at Cedars-Sinai. Unlike ...

BOSTON and HOUSTON, Jan. 7, 2026 /PRNewswire/ -- SOPHiA GENETICS (NASDAQ: SOPH), a global leader in AI-driven precision medicine, and The University of Texas MD Anderson Cancer Center today announced ...