I developed this machine-learning project to study off-treatment status in an AIDS clinical-trial dataset using available demographic and clinical variables. I compared Logistic Regression, Random ...
Dirk Schadendorf, MD, reviewed final STARBOARD data for encorafenib, binimetinib, and pembrolizumab in first-line BRAF ...
A machine learning study of 411,863 women across eleven Sub-Saharan African countries achieved 90.2 percent accuracy in ...
A meta-analysis of three small randomized trials finds the evidence on short-course versus standard-course antibiotics for ...
In rare diseases and narrowly defined populations, recruiting both investigational and control arms can take years, and ...
RELATIVITY-047's 5-year survival data and LAG-3-high CD8+ T cell biomarker findings signal a shift in how immuno-oncology ...
Point-of-care high-sensitivity cTn (cardiac troponin; hs-cTn) testing has the potential to expedite decision-making and reduce emergency department (ED) length of stay for patients presenting with ...
An offline, personalized, online-learning experiment that attempts to predict a person's next self-chosen integer in the inclusive range 0 to 100. It learns from successive choices. It does not assume ...
Priapism is a prolonged erection, usually painful, that is unrelated to sexual stimulation and requires rapid etiologic stratification and targeted management. Definition and Types Priapism is an ...
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