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 ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

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 ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Tempus AI TEM rose on Wednesday after the company unveiled its new HRD-RNA algorithm, an AI-driven tool designed to improve detection of homologous recombination deficiency (HRD) in tumors. The ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

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

Upstart stock is way down from its 52-week high, but the sell-off might be overdone.

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

For years, the most powerful artificial intelligence systems have been trained behind closed doors–inside massive data centers owned by a select few technology giants. These facilities concentrate ...