New research shows that junk food intake can be detected in blood and urine samples, offering a potential breakthrough in ...

While the company is just three years old, Atalan’s machine learning-driven method has been shown to be effective and has led ...

A machine learning model may be reliable for determining risk for postpartum depression, underscoring the need for greater ...

A broad systematic review has revealed that quantum computing applications in health care remain more theoretical than ...

Postpartum depression (PPD) affects up to 15% of individuals after childbirth. Early identification of patients at risk of ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry.

OpenAI, the maker of ChatGPT, released an open-source benchmark designed to measure the performance and safety of large language models in healthcare. The large data set, called HealthBench ...

The integration of 6G into healthcare brings speed and scale, but also magnifies the attack surface. According to the study, ...

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support.

A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying ...