With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...
Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.
The research highlights that energy–food market connectedness is highly crisis-sensitive, expanding dramatically during ...
14don MSN
Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” beyond human perception to uncover hidden features in plant roots.
Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
As climate change produces ever more heat waves, how many homes in the U.S. lack adequate cooling? Who's most vulnerable to ...
A new U.S. study reveals who has reliable air conditioning and who doesn’t, exposing deep inequalities in how people ...
Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...
An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.
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