A new project led by the University of Queensland seeks to create a national data network that will support the development of novel solutions for managing chronic diseases.Recently, the National Infrastructure for Federated Learning…
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The following is a guest article by Anna Twomey, Senior Director, Healthcare Providers – Americas at SS&C Blue Prism
With rising staffing shortages and burnout among healthcare workers, digital transformation will be key to overcoming these challenges and protecting…
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What You Should Know:
Amazon Web Services, Inc. (AWS) announced an investment of $100M to launch the AWS Generative AI Innovation Center, with healthcare and life sciences as a prioritized industry (alongside Financial Services, Energy…
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Amazon Web Services this week announced a new artificial intelligence initiative designed to help customers across numerous industries make better use of advancements in machine learning and automation, and scope high-value use cases based…
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Despite the importance of preventing chronic kidney disease (CKD), predicting high-risk patients who require active intervention is challenging, especially in people with preserved kidney function. In this study, a predictive risk score for CKD…
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By Mark Melchionna
June 15, 2023 – Using data from a Chinese hospital, researchers from the University of California, Riverside (UCR), found that a mchine learning (ML) approach could assess patient age, weight, and other illnesses…
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Researchers from Boston University have developed a machine learning model to provide personalized hypertension treatment recommendations. The model analyzes patient-specific characteristics and medical history to generate a customized hypertension prescription, suggesting the most appropriate…
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By Shania Kennedy
June 09, 2023 – Boston University (BU) researchers have co-developed a machine learning (ML) model designed to provide personalized hypertension treatment recommendations and assist clinicians with choosing which hypertensive medication may be the…
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Lilli, a company using machine learning (ML) to improve home care, has recently announced transformational results from its Discharge to Assess (D2A) trial with Nottingham on Call. Nottingham on Call is the telecare service provided…
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Machine learning (ML) models trained for triggering clinical decision support (CDS) are typically either accurate or interpretable but not both. Scaling CDS to the panoply of clinical use cases while mitigating risks to patients…
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