Tuberculosis (TB) continues to be one of the top ten leading causes of death worldwide, with more than 1.3 million reported deaths in 2020. The emergence and spread of drug-resistant forms of the disease have complicated ...
Jun 30, 2022
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63
Model predictions show that universal mask usage can reduce new infections by up to 72% and high vaccination rates successfully curb transmission for more contagious variants.
Jun 7, 2022
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Scientists have developed and validated an algorithm that can help healthcare professionals identify who is most at risk of dying from COVID-19 when admitted to a hospital, reports a study published today in eLife.
May 17, 2022
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An international research team led by scientists at Georgetown University have demonstrated the power of artificial intelligence to predict which viruses could infect humans—like SARS-CoV-2, the virus that led to the COVID-19 ...
Jan 10, 2022
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Lung cancer, the leading cause of cancer death, is usually diagnosed at a late stage when the survival rate is extremely low. Early-stage lung cancer is mostly asymptomatic, and low-dose spiral CT imaging, the current method ...
Dec 13, 2021
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Each year, sepsis affects more than 30 million people worldwide, causing an estimated six million deaths. Sepsis is the body's extreme response to an infection and is often life-threatening.
Nov 24, 2021
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The outcome predictive models were developed in part using data from a large multi-center National Institute of Mental Health-funded study and published in the journal Biological Psychiatry. The findings provide strong ...
Nov 9, 2021
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A computer model developed by Cleveland Clinic oncologist Timothy Chan, MD, Ph.D., and colleagues accurately predicts whether immune checkpoint blockade (ICB) will be effective in patients diagnosed with a wide variety of ...
Nov 4, 2021
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Fast and accurate clinical assessment of the disease progression and mortality is vital for the management of COVID-19 patients. Although several predictors have been proposed, they have been limited to subjective assessment, ...
Aug 30, 2021
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New research led by the University of Cambridge suggests that autism can be detected at 18-30 months using the Quantitative Checklist for Autism in Toddlers (Q-CHAT), but it is not possible to identify every child at a young ...
Jul 16, 2021
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