In the rapidly evolving realm of genetics, the integration of artificial intelligence (AI) has ushered in new perspectives on therapeutic approaches and evolutionary processes. Traditional genetic ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

For decades, scientists viewed the genome of a newly fertilized egg as a structural "blank slate"—a disordered tangle of DNA ...

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 ...

An international research team, with significant involvement from the Medical University of Vienna, has developed a new ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable ...

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 ...

Fragments of DNA from long-extinct human relatives still circulate in modern genomes, and in some cases they do more than linger. They actively shape how people survive in extreme environments. The ...