This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...
Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
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Machine learning models can help diagnose ALS earlier from a blood sample
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...
Explore how AI-driven threat detection can secure Model Context Protocol (MCP) deployments from data manipulation attempts, with a focus on post-quantum security.
A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP-Score: a morphology-based machine learning classification method for ...
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