New research published in The FASEB Journal indicates that e-cigarettes can cause cellular and molecular changes in the lungs. Specifically, prolonged inhalation of e-cigarette aerosols by mice caused changes in the animals' ...
Jan 25, 2023
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A study involving researchers from the University of Liverpool describes how transposable elements are associated with Parkinson's subtypes and impact disease trajectory.
Nov 9, 2022
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When someone arrives at a hospital with a severe injury, the law guarantees that person will receive care. But how will recovery progress when it's time for that person to go home?
Nov 7, 2022
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The Association for Molecular Pathology (AMP), a global, molecular diagnostic professional society, today published consensus recommendations for the use of in silico approaches for validating Next-Generation Sequencing (NGS) ...
Oct 18, 2022
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New research from Virginia Commonwealth University's School of Pharmacy brings the medical community closer to identifying children with the highest need for treatment and intervention following traumatic events.
Sep 2, 2022
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A new human genomics study led by Yale scientists has identified genetic risk factors for opioid use disorder (OUD) and related substance use disorders according to a new large-scale genome-wide association study—increasing ...
Aug 1, 2022
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When patients are admitted to an intensive-care unit, health practitioners provide treatment based on the signs and symptoms they observe. This approach does not necessarily include understanding the definite causes behind ...
Jun 30, 2022
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How do cancer cells differ from healthy cells? A new machine learning algorithm called "ikarus" knows the answer, reports a team led by MDC bioinformatician Altuna Akalin in the journal Genome Biology. The AI program has ...
Jun 10, 2022
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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 team of clinicians and scientists from Tempus and Geisinger have found that a new artificial intelligence model can accurately identify patients at increased risk of undiagnosed structural heart disease.
May 25, 2022
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