Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

LillyPod, which occupies 30,000 square feet in a room the size of a football field, is capable of crunching massive amounts of data at high speeds and is expected to help the Lilly discover and ...

Studying gene expression in a cancer patient's cells can help clinical biologists understand the cancer's origin and predict the success of different treatments. But cells are complex and contain many ...

As packaging complexity rises, the industry faces gaps in data, inspection, and process integration.

“Tooth agenesis, a congenital condition characterized by the absence of one or more teeth, is among the most common and ...

Higher education and the modern workplace stand at a pivotal moment. Artificial intelligence (AI) is rapidly transforming how decisions are made, how data ...

When it comes to keeping businesses safe, investing in an effective Fire Watch Guards Service is crucial, but what happens ...

Vybe Energy’s platform uses advanced machine learning and surrogate-based optimization for improved efficiency while ...

WebFX reports that AI can enhance social media strategies through automation, targeted ads, and customer engagement, boosting ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...