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    Machine Learning

    AI calculations help anticipate out-of-emergency clinic heart failure endurance

    Using neighborhood and neighborhood data in combination with existing data sources creates a more precise prediction on a patient’s recovery prospects after an out-of-hospital cardiac arrest (OHCA), according to preliminary study to be presented in the American Heart Association’s Resuscitation Science Symposium 2020. The 2020 meeting will be held virtually, November 14-16, and will feature

    Study recognizes biomarker gene mark that demonstrates likely liver toxicity

    When agrochemical and pharmaceutical companies develop new products, they must test extensively for potential toxicity before obtaining regulatory approval. This testing usually involves lengthy and expensive animal research. A research team at University of Illinois has developed a gene biomarker identification technique that cuts the testing process down to a couple of days while still

    Gene panel test empowers exceptionally exact diagnosis of liposarcomas

    Scientists have leveraged the latest advances in RNA technology and machine learning methods to develop a gene panel evaluation which allows for highly accurate diagnosis of the most frequent kinds of liposarcoma. The new assay is described in The Journal of Molecular Diagnosis, published by Elsevier. Liposarcomas are a type of malignant cancer that is

    FDA approves first AI based COVID-19 non-diagnostic screening

    Now, the U.S. Food and Drug Administration issued an emergency use authorization (EUA) for the first machine learning-based Coronavirus Disease 2019 (COVID-19) non-diagnostic testing apparatus that identifies certain biomarkers that are indicative of some kinds of conditions, such as hypercoagulation (a condition causing blood to clot more readily than normal). The Tiger Tech COVID Plus

    Advancing Patient Care: 5 Brands Harnessing AI and Machine Learning in Healthtech

    The incorporation of Artificial Intelligence (AI) and Machine Learning (ML) in the healthtech industry has sparked an innovation in patient care, medical research, and healthcare efficiency. These pioneering technologies are strengthening the healthcare providers and researchers with several treatment options. However, as the healthtech segment continue to evolve, maintaining a balance between innovation and security

    The Role of AI in Revolutionizing Pharma Lab Research

    Pharmaceutical laboratory research is currently undergoing a revolutionary change thanks to artificial intelligence (AI). From target identification to clinical trials, this is apparent at various stages of drug research and development. Here are some significant effects of AI on the pharmaceutical sector: Drug Discovery and Target Identification: Data Analysis: AI algorithms can process and analyze