Science

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.

Research & Development

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Clinical Trials

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

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Products

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.

Immunix®

Sepsis ImmunoScore®

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

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Resources

Blogs, articles, videos, and podcasts exploring how precision medicine and AI are changing the way clinicians detect and treat critical conditions.

Resource Library

Events

Treating the Patient, Not the Disease

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Newsroom

Read the latest Prenosis peer-reviewed articles and items from scholarly journals.

Newsroom

Sepsis ImmunoScore Outperforms Conventional Sepsis Tools

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About

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

Mission, Vision & Values

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

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Impacting Patient Care Through Early Disease Detection with AI

Healthcare Transformers  |  Digital Health  |  AI

Impacting Patient Care Through Early Disease Detection with AI

Article originally published on Roche’s Healthcare Transformers content hub September 4, 2025

At the HIMSS25 Global Conference, healthcare leaders – including Dr. Okan Ekinci of Roche, Robin Carver of Prenosis, Dr. Anwar Jebran of Oak Street Health, part of CVS Health, and Sunil Dadlani of Atlantic Health – discussed practical strategies for improving disease detection by incorporating artificial intelligence (AI) and digital tools into clinical care. Their discussion focused on improving patient care, enhancing the clinician experience, and delivering long-term economic value for health systems.

Highlights:

  • Traditional healthcare focuses on treatment after symptoms appear, but early intervention prevents many chronic conditions.
  • Artificial intelligence enables earlier diagnoses, impacts patient care, and optimizes resource allocation.
  • Healthcare leaders must integrate AI and digital tools into workflows responsibly to better support sustainable, value-based care.

Read the full article >