Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Chronic wounds remain a major health care challenge, especially for people with diabetes, who often experience delayed ...

Digital sleep-wake biomarkers derived from wearable accelerometers added predictive value to dementia risk models, with contributions comparable to APOE ε4 genotype. Wearable accelerometer measures of ...

Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others.

Chronic wounds remain a major healthcare challenge, especially for people with diabetes, who often experience delayed healing ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

Smartwatches may transform blood sugar tracking, but today’s advances depend on CGMs, AI, and regulated health tech ...

The box from the Finnish company MedicubeX is now being used in various care scenarios. In an interview with heise online, founder and CEO Vili Kostamo discusses the company's latest projects, ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

“This PIC Packaging Center of Competency at C2MI, launched in collaboration with Aeponyx and our partners, helps turn advanced integrated photonics into repeatable, industrial-grade capabilities in ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...