What You Should Know
The News: Prenosis has secured a combined $40M in new capital—split evenly between a $20M Series A led by PACE Healthcare Capital and a $20M federal contract from BARDA.The Tech: The…
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Sepsis has been a known threat for decades, yet it still slips past clinicians every day. The problem is not awareness or organizational will. It is variability, speed, and signal overload. In busy care…
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James Lakes, MSc is president of Mednition.
Tell me about yourself and the company.
Mednition works with healthcare leaders and providers who are looking to improve the clinical, financial, and operational performance of…
The Persistent Sepsis Crisis
For years, the approach to sepsis in acute care settings has followed the same playbook: early warning alerts and standardized care protocols. Healthcare facilities worldwide have invested heavily in these systems,…
Sepsis is the leading cause of mortality in burn patients, yet early identification remains difficult due to persistent hyperinflammatory responses and altered baseline physiology. We developed a streamlined machine learning model for early sepsis…
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News
A new ASTP report says that 71% of hospitals used predictive AI tools in EHRs in 2024, mainly for outcomes, but increasingly for billing and scheduling.
Cleveland Clinic will expand its rollout of AI-powered sepsis…
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Approximately 50 million people suffer from sepsis yearly, and 13 million die from it. For every hour a patient with septic shock is untreated, their survival rate decreases by 8%. Therefore, rapid detection and…
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Sepsis, a life-threatening disease caused by infection, presents a major global health challenge due to its high morbidity and mortality rates. A rapid and precise diagnosis of sepsis is essential for better patient outcomes….
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What You Should Know:
– Sutter Health, an integrated not-for-profit healthcare system based in Northern California, and Flosonics Medical today announced an expansion of the deployment of FloPatch, the first wireless wearable Doppler ultrasound device, across multiple…
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Target trial emulation (TTE) aims to estimate treatment effects by simulating randomized controlled trials using real-world observational data. Applying TTE across distributed datasets shows great promise in improving generalizability and power but is always…
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