What You Should Know:
– Arcadia, a healthcare data platform, announced a new AI-driven precision medicine solution designed to identify patients with undiagnosed or misdiagnosed conditions who are at risk of poor health outcomes.
– The…
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Drug discovery startup Insilico Medicine and Italian pharmaceutical company Menarini Group announced their second licensing agreement, targeting unmet needs in oncology with a novel AI-discovered preclinical asset. The agreement grants Stemline Therapeutics, a subsidiary of…
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What You Should Know:
– Qventus, a leading provider of AI-based care automation software for health systems, today announced a $105 million investment led by global investment firm KKR, with additional participation from world-renowned investment firm…
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Aging affects the 12-lead electrocardiogram (ECG) and correlates with cardiovascular disease (CVD). AI-ECG models estimate aging effects as a novel biomarker but have only been evaluated on single ECGs—without utilizing longitudinal data. We validated…
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Qventus, which offers health systems an AI-based care automation platform, has garnered $105 million in Series D funding in a round led by KKR. Bessemer Venture Partners also participated in the round alongside new strategic…
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Remote, digital cognitive testing on an individual’s own device provides the opportunity to deploy previously understudied but promising cognitive paradigms in preclinical Alzheimer’s disease (AD). The Boston Remote Assessment for NeuroCognitive Health (BRANCH) captures…
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What You Should Know:
– Availity®, the nation’s leading real-time health information network, and Concert®, the leading provider of clinical content and payment accuracy solutions for advanced diagnostics, have partnered to digitize and automate the…
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The 12-lead electrocardiogram (ECG) is inexpensive and widely available. Whether conditions across the human disease landscape can be detected using the ECG is unclear. We developed a deep learning denoising autoencoder and systematically evaluated…
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The current approach to fetal anomaly screening is based on biometric measurements derived from individually selected ultrasound images. In this paper, we introduce a paradigm shift that attains human-level performance in biometric measurement by…
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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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