UK Top 10 News

Researchers at Cambridge University unveiled an AI model that predicts Alzheimer’s disease with 92% accuracy from routine brain scans, potentially revolutionising early diagnosis.
Published in Nature Neuroscience, the study used MRI data from 10,000 patients, identifying subtle brain changes years before symptoms appear.
The model, trained on diverse datasets, outperforms traditional methods by 15%.
Lead scientist Dr.
Emily Chen said it could enable interventions to slow progression, with clinical trials planned for 2026.
The Alzheimer’s Society hailed the breakthrough but urged caution, noting scalability challenges in healthcare systems.
On X, users shared optimism, though some raised privacy concerns over medical data use.
The technology could reduce diagnostic costs by 30%, per estimates, but requires regulatory approval.
This development aligns with growing AI applications in medicine, from cancer detection to drug discovery.
The BBC reported the story, emphasizing its potential to ease NHS burdens and improve patient outcomes in an aging population.