Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
1don MSN
A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction
Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...
The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, ...
The ICM+ AI model demonstrated superior prognostic value for breast cancer recurrence compared to Oncotype DX, especially for late distant recurrences. Integration of pathomic imaging in the ICM+ ...
As we prepare to close out 2025, the Computer Weekly Security Think Tank panel looks back at the past year, and ahead to 2026 ...
An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
On the customer-facing side, Amazon has introduced Rufus, a new generative AI-powered conversational shopping experience. It ...
News-Medical.Net on MSN
Early warning for diabetes: AI model identifies prediabetes risk with high accuracy
A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...
A comprehensive review in Current Molecular Pharmacology highlights how machine learning, molecular dynamics simulations, and hybrid AI-MD platforms are revolutionizing antimicrobial discovery. These ...
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