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 ...

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 ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...

Overview 7 computer science courses that are structured to provide you with a deeper understanding of concepts and practical hands-on experience.A wide range of ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

Understanding what complex chemical measurements reveal about materials and reactions can take weeks or months of analysis. But now, an AI-powered platform developed by researchers at the Department ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne State University found that generative AI tools could perform orders of ...

Generative AI tools stunned researchers by building accurate preterm birth prediction models far faster than human teams — sometimes even outperforming them. The breakthrough suggests AI could ...

As AI reshapes white-collar work, experts reveal which Class 11 streams stay relevant and why digital literacy, adaptability and human skills matter more than labels.

So much of our health is invisible even to ourselves, and one of the biggest barriers to better health is simply not knowing what's going on,' says Apple’s Steve Waydo, director for health sensing.

Soon after wildfires ripped through Los Angeles last year, California politicians and the media knew whom to blame: the oil ...