Researchers at Dana-Farber Cancer Institute have developed a diagnostic tool that could transform the way acute leukemia is ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Using heart rate variability as a potential biomarker for diagnostic support and early screening of schizophrenia and bipolar disorder could eventually lead to faster, less costly assessments outside ...

PC Magazine is your complete guide to computers, phones, tablets, peripherals and more. We test and review the latest gadgets ...

2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.

Apple today introduced Apple Watch Series 11, offering the most comprehensive set of health features yet, longer battery life, an even more durable cover ...

Apple introduced Apple Watch Ultra 3 — the most advanced Apple Watch — delivering expanded health, fitness, safety, and ...

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...

Machine learning models using patient-reported outcomes, wearables, and clinical data accurately predicted urgent care visits ...

Machine learning model accurately diagnoses interstitial pneumonia, matching pulmonologist expertise and predicting mortality ...

(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...