A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

Early intervention in psoriatic arthritis (PsA) is disease-modifying, and delays in diagnosis, even by 6 months, can reduce ...

Predicting who might die while in the hospital is one of the hardest challenges for doctors caring for people with serious liver disease.

Nagaraju led three distinct but interlinked initiatives: an automated data-validation layer, a unified Git governance strategy, and a CI-integrated testing framework. None of them had a public-facing ...

Background Steatotic liver disease-related hepatocellular carcinoma (SLD-HCC), a rising global challenge, is characterised by ...

Student retention and success remain persistent global challenges in higher education, with direct implications for institutional quality, resource ...

A new skilled nursing facility validation program could be the “tip of the iceberg” in verifying provider quality ...

The Langlands program has inspired and befuddled mathematicians for more than 50 years. A major advance has now opened up new ...

Since the start of the SARS-CoV-2 pandemic, several variants of the virus have developed into Variants of Concern (VOCs), as ...