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Science, technology and the emergence of AI have converged to make precision medicine for acute care a reality. This is how we deliver healthcare tailored to biology.

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The Sepsis ImmunoScore® Predicts Sepsis, Mortality, and Deterioration Better than Clinical Scores and Widely Available Biomarkers

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Prenosis is developing a pipeline of integrated diagnostics and therapeutics grounded in each patient's unique biological profile, using deep data science and AI to give clinicians tools that reflect the true complexity of critical disease.

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BioAegis Therapeutics Announces Collaboration with Prenosis to Advance AI-Driven Precision Medicine in Inflammatory Disease

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Treating the Patient, Not the Disease

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Sepsis ImmunoScore Outperforms Conventional Sepsis Tools

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As a biology-based technology company, we combine data science with AI to transform how critical conditions are diagnosed and treated.

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LifeBridge Health deploys Prenosis’ FDA-authorized AI tool to speed sepsis detection

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Treating the Patient, Not the Disease

Health IT Answers  |  FINN Voices Podcast  |  How We Are Rewriting Care for the Most Critical Conditions

Originally published on Health IT Answers and the FINN Voices podcast on July 19, 2026

When I first stepped into the intensive care unit at Carle Foundation Hospital in Champaign, Illinois, about a decade ago, I wasn’t there as a physician. I was an engineer with a hunch.

For the better part of two years, I spent time interviewing doctors, nurses, technicians, and patients. What I witnessed in those hallways completely changed the trajectory of my career.

In this conversation with Beth Friedman on FINN Voices, I reflect on the realization that drove me back then: we simply do not understand the biology of the most serious conditions in the hospital. Oncology has benefited from massive, coordinated efforts like the Human Genome Project to decode the molecular nuances of cancer. However, no equivalent effort had ever been undertaken for acute care’s most costly, and most common diseases. Until now.

Read the full article and listen to the podcast >