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 ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

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 ...

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

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 ...

The pattern is clear: volume trumps validity. Automated removals happen before human review. The most vile antisemitic ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

The longevity industry has reached an inflection point. With companies like Function Health raising hundreds of millions in venture capital, biological age testing has moved from academic curiosity to ...