An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...
In a bid to improve end-of-life care for incarcerated individuals in the California prison system, UC San Francisco researchers have found a way to predict who is most likely to die within two years ...
Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell ...
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 ...
This study applied three models—random forest (RF), gradient boosting regression (GBR), and linear regression (LR)—to predict county-level LC mortality rates across the United States. Model ...
Monitoring and treating heart failure (HF) is a challenging condition at any age. Several models, such as Atrial fibrillation, Hemoglobin, Elderly, Abnormal renal parameters, Diabetes mellitus (AHEAD) ...
Air pollution, particularly SO2, was linked to higher admission and mortality risks in patients receiving haemodialysis.
Proteomic age clocks applied to two European cohorts linked faster biological aging with smoking, alcohol use, physical ...
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