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

Evidence

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

Careers

Leadership

Awards

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

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Evidence

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

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

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Interpretability of an FDA-authorized AI/ML sepsis diagnostic tool improved by SHAP values

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Challenges Facing Developers of Diagnostic Tests for Sepsis: A Report From Sepsis Alliance and the Infection Management and Sepsis Collaborative Community

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Multivariate protein landscape of host response in hospitalised patients with suspected infection in the emergency department

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Biomarker-based Clustering to Identify Distinct Host Response Signatures in Hospitalized Patients With Suspected Infection

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New England Journal of Medicine AI

Sepsis ImmunoScoreTM: A Benchmark in Diagnostic and Predictive Power

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Diagnostic and prognostic capabilities of a biomarker and EMR-based machine learning algorithm for sepsis

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Analysis of Protein Biomarkers From Hospitalized COVID-19 Patients

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A point-of-care microfluidic biochip for quantification of CD64 expression from whole blood for sepsis stratification

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Point-of-care sensors for the management of sepsis

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Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis

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