A team of researchers has created a computer model that accurately predicted the spread of COVID-19 in 10 major cities this spring by analyzing three factors that drive infection risk: where people go in the course of a day, ...
Nov 10, 2020
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Sepsis claims the lives of nearly 270,000 people in the U.S. each year. The unpredictable medical condition can progress rapidly, leading to a swift drop in blood pressure, tissue damage, multiple organ failure, and death.
Dec 9, 2021
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Scientists at the University of Pittsburgh School of Medicine have discovered a new biological pathway of innate immunity that ramps up inflammation and then identified agents that can block it, leading to increased survival ...
Mar 31, 2013
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While it's long been understood that predicting outcomes in patients with cancer requires considering many factors, such as patient history, genes and disease pathology, clinicians struggle with integrating this information ...
Aug 8, 2022
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(HealthDay)—A child-specific version of the modular model predictive control (MMPC) algorithm is feasible and safe for 5- to 9-year-old children with type 1 diabetes, according to the first outpatient single-hormone artificial ...
May 13, 2016
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Using a combination of demographic and clinical data gathered from seven weeks of COVID-19 patient care early in the coronavirus pandemic, Johns Hopkins researchers today published a "prediction model" they say can help other ...
Sep 22, 2020
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The recently published article "Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study" in the Journal of Medical Internet Research, reported that it may be possible ...
Mar 28, 2023
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Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to 80 percent accuracy which COVID-19 patients would develop life-threatening complications within four days, a new study ...
May 12, 2021
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Damage to energy-producing mitochondria may underlie prolonged muscle weakness following a sepsis-like condition in mice, according to a new study published today in eLife.
Dec 10, 2019
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While all workers across Canada and around the world are being affected by COVID-19, health-care workers as a group are most heavily feeling its impact. This is because of their pivotal role in the treatment of people infected ...
Sep 29, 2020
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