What You Should Know:
– EVERSANA and Waltz Health have announced a merger valued at $6B to form a unified healthcare platform that will redefine pharmaceutical commercialization and patient access.
– The merger combines Waltz Health’s…
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What You Should Know:
– Sleep.ai, formerly known as SleepScore Labs secures $5.5M in venture funding led by Treasure Coast Ventures, with participation from Nurture Ventures, the Harvard Business School Alumni Angels of Greater New…
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What You Should Know:
– Eli Lilly and Company has announced positive topline results from its Phase 3 ATTAIN-2 trial, which evaluated orforglipron, an investigational oral GLP-1 receptor agonist, in adults with obesity or overweight…
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This systematic review examines the cost-effectiveness, utility, and budget impact of clinical artificial intelligence (AI) interventions across diverse healthcare settings. Nineteen studies spanning oncology, cardiology, ophthalmology, and infectious diseases demonstrate that AI improves diagnostic…
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What You Should Know:
– Carna Health, a digital health company focused on kidney care, has announced a strategic agreement with Siemens Healthineers. The collaboration aims to accelerate the adoption of Carna’s AI-enabled chronic kidney…
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Oxford University spin-out OrganOx has been acquired by Terumo Corporation in a $1.5bn (£1.2bn) deal, representing one of the largest exits of a UK MedTech company.
The firm, founded by Constantin Coussios and Peter Friend,…
What You Should Know:
– New data from Nomi Health reveals a counterintuitive trend dubbed the “MSK Paradox”: white-collar employees report significantly higher rates of musculoskeletal (MSK) disorders than their blue-collar counterparts.
– A national analysis…
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Jordan Sollof
Digital Health Unplugged covers all things health technology and NHS IT. Hosted by Digital Health’s news reporter Jordan Sollof, the podcast delves into key issues and news stories in the sector. It also…
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Opioids are frequently overprescribed after surgery. We applied a tabular foundation model to predict the risk of post-discharge opioid consumption. The model was trained and internally validated on an 80:20 training/test split of the…
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