Machine learning is playing an ever-increasing role in biomedical research. Scientists at the Technical University of Munich (TUM) have now developed a new method of using molecular data to extract subtypes of illnesses. ...
May 27, 2022
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A research team supported by the National Institutes of Health has identified characteristics of people with long COVID and those likely to have it. Scientists, using machine learning techniques, analyzed an unprecedented ...
May 16, 2022
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Researchers at Children's Hospital of Philadelphia (CHOP) have developed a new tool to help researchers interpret the clinical significance of somatic mutations in cancer. The tool, known as CancerVar, incorporates machine ...
May 6, 2022
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A novel online tool called INSIGHT offers a machine learning-based approach when prescribing sodium-glucose cotransporter-2 (SGLT2) inhibitors to maximize the benefit for patients with Type 2 diabetes.
Feb 10, 2022
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Immunology and bioinformatics researchers from The University of Queensland have identified a powerful tool for analysing large patient datasets. Their work could lead to better patient stratification, and the precise ...
Jul 29, 2021
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Three of the most common chronic eye conditions require regular medical checkups and injections into the eye by ophthalmology specialists to keep looming blindness at bay. A study by the University of Bern and the Inselspital ...
Jun 8, 2021
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Heart disease and cancer are the leading causes of death in the United States, and it's increasingly understood that they share common risk factors, including tobacco use, diet, blood pressure, and obesity. Thus, a diagnostic ...
May 20, 2021
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Clinical research requires that data be mined for insights. Machine learning, which develops algorithms to find patterns, has difficulty doing this with data related to health records because this type of information is neither ...
Feb 25, 2021
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With the aid of sophisticated machine learning, researchers at UPMC and the University of Pittsburgh School of Medicine demonstrated that a tool they developed can rapidly predict mortality for patients facing transfer between ...
Feb 9, 2021
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University of California, Irvine health sciences researchers have created a machine-learning model to predict the probability that a COVID-19 patient will need a ventilator or ICU care. The tool is free and available online ...
Dec 17, 2020
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