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 ...

New genome sequencing algorithm boosts human genome completeness by 20%, improving variant detection and advancing personalized medicine.

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

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 ...

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

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that ...

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

By Dr. Priyom Bose, Ph.D. A sweeping genetic analysis reveals when obesity is the common thread linking chronic diseases, and when other biology is to blame. Study: Genetics identifies obesity as a ...