The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Infinitus has launched a new suite of agentic AI tools for healthcare payers that aim to improve member engagement through ...

The buzz around artificial intelligence in healthcare hasn’t waned, and for major companies to keep up, they must invest in ...

Applying Machine Learning (ML) to physiological data poses several challenges. While ML can be effectively used to model well-defined systems, applying it to a system as complex as the human body ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

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

With the flood of data pouring in from across the healthcare industry there are still a lot of questions surrounding how best to make sense of said data, and where to store the heaps of new ...

As the world grapples with the energy crisis and environmental concerns, the focus on renewable energy sources has intensified. Lithium-ion batteries, with their high energy density and low pollution, ...

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success ...