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 machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...
A new study offers insight into the health and lifestyle indicators—including diet, physical activity and weight—that align most closely with healthy brain function across the lifespan. The study used ...
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, ...
PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology We used an innovative machine learning approach to analyze ...
A new research published in the Journal of the American Medical Association revealed that a machine learning model which ...
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 machine learning (ML) model (XGBoost) showed a modest but statistically significant improvement over a conventional regression model in predicting 180‑day readmissions among children hospitalized ...
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