Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
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Florida-led study: "Discarded" umbilical cords could predict future diabetes
One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the ...
A blood test, combined with an ultrathin material derived from graphite, could significantly advance efforts to detect ...
Recent advances in diabetes detection may help to identify risk earlier. In this article, MNT discusses recent studies that ...
New evidence reveals the Milky Way’s black hole once erupted, genes hide mutation hot spots, and AI accelerates sodium ...
Spinal metastasis, the spread of cancer to the spine, is a frequent complication in advanced cancer. It often causes severe ...
Researchers have developed a new artificial intelligence-based modeling tool that can accurately predict how infectious ...
Integrative Multi-Omics and Computational Modeling for Biomarker Discovery in Complex Human Diseases
Complex human diseases—such as cancer, neurodegenerative disorders, autoimmune conditions, cardiometabolic disease, and chronic inflammatory syndromes—arise ...
The tool helps scientists understand how single-letter mutations and distant DNA regions influence gene activity, shaping ...
AI may be able to predict a person’s risk of developing over a hundred serious medical conditions from data collected over ...
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