Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell ...
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 ...
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 ...
Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is ...
Trends in ivermectin medication records with cancer as the primary diagnosis following public attention: A national EHR analysis. Mortality caused by coexisting malignant neoplasms and type 2 diabetes ...
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) ...
The PLCO model may improve prediction of prostate cancer death at the point of screening. The Stockholm3 test may improve screening itself. A new prostate cancer-specific mortality (PCSM) model may ...
While previous research in high-income countries defines persistent critical illness as the point when pre-existing ...
At the time of kidney transplantation, a novel model incorporating up to 14 variables can predict the recipient’s risk of death. High-risk individuals warrant increased monitoring and tailored ...
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