Machine learning predicts who will decline faster in Alzheimer’s disease using routine clinic data
Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...
Machine learning models may be able to more accurately predict psoriasis severity vs dermatologists using the Psoriasis Area and Severity Index and Body Surface Area measures. A systematic review ...
Researchers at the University of Alabama at Birmingham now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and ...
Facial paralysis, a condition characterised by impaired facial muscle movement, presents significant challenges both diagnostically and therapeutically. Recent advances in machine learning have ...
Researchers used advanced machine learning to increase the accuracy of a national cardiovascular risk calculator while preserving its interpretability and original risk associations. Risk calculators ...
A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...
Implementation of an academic precision oncology service in a community setting. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
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