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 ...

David Ihrig replaces outdated acting methods with a brain-based system for authentic performance IRVINE, Calif., Feb. 18, 2026 /PRNewswire/ -- Actors have been trained for more than a century using ...

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 ...

AoT enhances AI reasoning by mimicking humanlike thought processes, improving adaptability and efficiency in problem-solving. The algorithm of thoughts (AoT) is a groundbreaking approach in artificial ...

A novel combinatorial optimization algorithm sets a new quantum computing standard at the heart of the modern economy In a development that is likely to set a new industry standard, scientists at ...

Categorizing patients with cancer by their disease stage can be an important tool when conducting administrative claims-based studies. As claims databases frequently do not capture this information, ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al Depope, Jakub Bajzik, Marco Mondelli, and Matthew R. Robinson. 2026. Joint ...