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 ...

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 ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al ...

A RAND study found that the newest AI models can design lab-ready DNA sequences and generate workable protocols, successfully ...

Umbilical cord blood transplantation has transformed the treatment options for patients with blood cancers and other ...

NSCLC remains the leading cause of cancer-related mortality worldwide, with EGFR mutations being a critical driver in approximately 10-15% of lung adenocarcinomas in Western populations, and up to 40% ...

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

A Japanese study of more than 7,400 patients has identified a genetic mismatch that sharply increases the risk of severe acute graft-versus-host disease (GVHD) following umbilical cord blood ...

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...