Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory failure (ARF) represents one of its most critical complications. Once ...

A new research published in the Journal of the American Medical Association revealed that a machine learning model which ...

Bayesian network models predict urgent care visits in patients with non–small cell lung cancer receiving systemic therapy. The first model (left) integrates clinical and patient-reported outcome data, ...

Machine-learning model can reliably predict cognitive performance based on lifestyle indicators by Diana Yates, University of Illinois at Urbana-Champaign edited by Gaby Clark, reviewed by Andrew ...

A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a development that could lead to the creation of ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

A new machine-learning approach for prostate-specific membrane antigen (PSMA) treatment of metastatic castration-resistant prostate cancer (mCRPC) could estimate radiation dose to tumors and healthy ...

Researchers at MUSC Hollings Cancer Center have developed a machine learning tool to identify cancer patients who may be at high risk for financial toxicity – the financial stress and hardship that ...

After giving birth, new mothers typically return for a follow-up appointment six to eight weeks later. But if postpartum depression symptoms emerge, “that can be a really long time for someone who is ...

The team tested various machine learning algorithms to see which one best weighed the various factors to predict the speed of accurate responses in the flanker test. The researchers tested the ...