Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...

Scientists from Duke-NUS Medical School and their international collaborators have developed a new computational tool that ...

Researchers revealed that the microbial metabolite TMA can directly block the immune protein IRAK4, reducing inflammation and ...

The American Society of Nephrology’s AI workgroup introduced a clinical framework for responsible AI use at ASN Kidney ...

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Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Machine learning diabetes risk predictor using KNN classifier. Built as part of Intel AI for Youth program with scikit-learn, pandas, and data visualization for early medical screening.

Designed to accelerate advances in medicine and other fields, the tech giant’s quantum algorithm runs 13,000 times as fast as software written for a traditional supercomputer. A quantum computer at ...

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

ABSTRACT: This study proposes a segmented approach to analyzing diabetes risk factors using the dataset diabete_custom.xlsx (150 individuals, 14 medical and behavioral variables). The combination of ...

ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...