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 Depope, Jakub Bajzik, Marco Mondelli, and Matthew R. Robinson. 2026. Joint ...

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 ...

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

Investigators searching for Savannah Guthrie's missing mom are now turning to the same forensic strategy that caught Bryan Kohberger in the 2022 University of Idaho murders. The Pima County Sheriff's ...

Some say we’ve entered a new age of AI-enabled scientific discovery. But human insight and creativity still can’t be ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Society / One key revelation in the wide correspondence of the late pedophile: the rich and powerful just aren’t all that ...

Inherited hyperbilirubinemia, encompassing Gilbert syndrome, Crigler-Najjar syndrome, Dubin-Johnson syndrome, and Rotor ...

Researchers in Sweden developed a new methodology to optimize agrivoltaic systems across Europe, showing that row pitch, system type, and panel orientation must be tailored to local climate, crops, ...

To support clinicians in making informed decisions regarding the diagnosis and management of inherited hyperbilirubinemia, including Gilbert syndrome, Crigler-Najjar syndrome, Dubin-Johnson syndrome, ...