Cardiac wall motion abnormalities (WMA) are strong predictors of mortality, but current screening methods using Q waves from electrocardiograms (ECGs) have limited accuracy and vary across racial and ethnic groups. This study aimed to…
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OMNY Health, a company that helps hospitals monetize operational data, announced a partnership with Scipher Medicine to promote precision medicine efforts for immunology.The aim of the collaboration is to integrate transcriptomic data from Scipher…
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Researchers from the National University of Singapore have developed a new analytical tool offering a new approach to analysing brain activity. The Brain-JEPA (Joint-Embedding Predictive Architecture) model identifies brain regions and how they function individually…
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What You Should Know:
– OMNY Health, the leading healthcare ecosystem for compliant real-world data insights at scale, and Scipher Medicine, which has the world’s largest immunology clinico-transcriptomics data set and is focused on advancing…
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This retrospective cohort study evaluates the impact of an AI-supported continuous glucose monitoring (CGM) mobile app (“January V2”) on glycemic control and weight management in 944 users, including healthy individuals and those with prediabetes…
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Using administrative claims and electronic health records for observational studies is common but challenging due to data limitations. Researchers rely on phenotype algorithms, requiring labor-intensive chart reviews for validation. This study investigates whether case…
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2024 saw the rise of many generative AI applications in various industries, including healthcare, driving work and operational efficiencies like never before. It is also one of the technology solutions that came out of an…
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Five digital health startups recently graduated from the accelerator programme of the National University of Singapore Yong Loo Lin School of Medicine and 22Health Ventures. Started as a hackathon event, the NUS Medicine Digital…
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Neonatal seizures require urgent treatment, but often go undetected without expert EEG monitoring. We have developed and validated a seizure detection model using retrospective EEG data from 332 neonates. A convolutional neural network was…
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This systematic review examines four themes of device-based remote monitoring (DRM): technology, patient monitoring and support, integration of DRM into clinical care, and patient engagement, and their impact on hospital service use. We included…
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