A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...
AI works by learning from data, finding patterns, and generating outputs. It uses algorithms—step-by-step rules that tell the ...
Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...
Scientists at St. Jude Children's Research Hospital have created a database that provides updated predicted structures on a ...
With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...
Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.
News-Medical.Net on MSN
Machine learning advances human-centric drug toxicity prediction
In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure.
Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying ...
A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...
Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...
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