Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...
Background Pain and fatigue are among the most debilitating symptoms of systemic sclerosis (SSc), severely impairing quality ...
A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
Background Primary percutaneous coronary intervention (PCI) has significantly improved outcomes for ST-segment elevation ...
Glacier erosion is transforming Earth's landmass at an astonishing rate. Artificial intelligence reveals how melting ice ...
An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.
Feasibility of Large-Scale Implementation of an Electronic Patient-Reported Outcome Remote Monitoring System for Patients on Active Treatment at a Community Cancer Center A retrospective review of our ...
Researchers have identified obesity hypoventilation syndrome (OHS) in a small but clinically relevant number of patients who ...
Among adolescent girls with concussion, greater initial emotional symptom severity, reflected in higher anxiety, depression, and sleep disturbance scores, was associated with a higher likelihood of ...
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