A study led by Monash University and believed to be a world first has demonstrated that an Artificial Intelligence (AI) model can potentially predict the best personalized, anti-seizure medication for patients with newly ...
Aug 29, 2022
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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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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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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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Patients who, perhaps unbeknownst to their health care providers, are in need of genetic testing for rare undiagnosed diseases can be identified en masse based on routine information in electronic health records (EHRs), a ...
Jun 3, 2021
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