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AI-Based Platform For Detecting AFib Put To The Test In VA Facilities
Clinical Research News | Investigators at Cedars-Sinai Medical Center are looking to minimize the biases in the data used by artificial intelligence (AI) algorithms, most recently a deep learning model trained on nearly a million electrocardiograms (ECGs) to identify people with abnormal heart rhythms. The inputs came from a pair of large Veterans Affairs (VA) hospital networks serving a highly diverse set of patients in terms of demographics and comorbidities.
Jan 23, 2024
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Automation Accelerates and Reduces Inconsistencies in Drug Development
Clinical Research News | New drugs can take over a decade to receive approval. While drug development cannot be rushed, advancements in AI and automation can help life sciences organizations ensure shorter timelines to market, enhanced patient safety, and maximal resource utility.
Jan 19, 2024
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Digital Endpoints: Trends and Opportunities in Drug Development and Beyond
Clinical Research News | When the Digital Medicine Society (DiMe) launched its Library of Digital Endpoints, a listing of industry-sponsored studies of new medical products or applications that use sensor-derived endpoints, there were a total of 35. Four years later, that same library now includes over 400 unique digital endpoints collected by over 60 sponsors to answer questions about the efficacy of new medical products.
Jan 17, 2024
