Distinguishing different subtypes of sepsis by machine learning sets the stage for individualized treatment, researchers say

Four clinical sepsis phenotypes were identified that correlated with host-response patterns and clinical outcomes, researchers reported here. The four novel sepsis phenotypes — alpha (α), beta (β), gamma (γ), and delta (δ) — with different demographics, laboratory values, and patterns of organ dysfunction were derived, validated, and shown to correlate with biomarkers and mortality, according

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AI can predict patient response to popular Crohn’s treatment

A predictive machine learning model was able to identify how effectively patients with Crohn’s disease would respond to long-term usage of ustekinumab, according to a new study in JAMA Network Open. Researchers from the University of Michigan trained the model using demographic and laboratory data obtained in previous clinical trials. The data described 401 patients with active Crohn’s

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Most Healthcare, Fitness Tracker, And Wellness Apps Are Not Covered By HIPAA And HHS’s New Faqs Makes That Clear

Individuals who use healthcare apps such as fitness trackers, weight loss, wellness, exercise, etc., BEWARE!A couple of recent developments have highlighted the fact that most apps are not subject to HIPAA, which means that with broadly-worded privacy policy these healthcare apps can and do readily share healthcare and other data collected by the apps with third

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Artificial intelligence could select heart failure patients for expensive treatment

Machine learning algorithm predicts sudden death in heart failure patients for the first time Artificial intelligence (AI) has shown promise to select heart failure patients for expensive treatments to prevent lethal arrhythmias, reports a study presented today at ICNC 2019. (1) The study is the first to use a machine learning algorithm to predict sudden

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