Researchers from Harvard have developed a predictive model, called MELD-Plus, capable of identifying patients at high-risk for developing negative outcomes following a hospital admission for cirrhosis. Findings were published in PLOS One.

Analyzing brain patterns with machine learning could predict people at risk of suicide, according to a study published in Nature Human Behavior.

If the past 25 years in information technology has taught consumers anything, it's that devices have to be better, smaller an faster. A new microchip, which reportedly costs all of $10, may be able to improve ultrasonic capabilities.

The Affordable Care Act (ACA) did change physicians' total patient mix by health insurance status, with the percentage of uninsured patients shrinking and the average Medicaid patient load increasing in states that expanded eligibility.

A wearable device capable of detecting and characterizing seizures could improve care for patients with epilepsy, according to a study published in Epilepsia.

Scientists at École Polytechnique Fédérale de Lausanne, Switzerland have demonstrated that phantom body pain in paraplegic patients could be reduced by creating a bodily illusion using virtual reality (VR), according to a study published Neurology.

Researchers often collect social media data without the user's consent, which may stray outside ethical guidelines, according to a study published in Research Ethics.

Researchers from the University of Helsinki and the Helsinki University Hospital have developed artificial intelligence (AI) software capable of measuring EEG signals in preterm infants to estimate the brain's functional maturity, according to a study published in Scientific Reports.