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

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 ...

Advances in ultrasound—the same imaging technology that uses sound waves to allow doctors to monitor babies in utero—are being applied by engineers at the University of California San Diego to make ...

Since the third Gaia data release in 2022, wide binary stars with separation greater than several thousand astronomical units ...

Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...

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 ...

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to social influencers.

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

A new AI method helps identify dinosaur footprints by analyzing key traits, enhancing accuracy in paleontological studies.

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