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

NOSIS™

Partners

Evidence

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

Read More →

Platform

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.

Sepsis ImmunoScore®

Clinical Trials

Pipeline

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

Read More →

Resources

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

Newsroom

Resource Library

Events

Why We Call It an “AI-Biomarker”

Read More →

Newsroom

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

Newsroom

Sepsis ImmunoScore Outperforms Conventional Sepsis Tools

Read More →

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

Investors

Awards

Prenosis and Winners of the Chicago Innovation Awards Ring the Opening Nasdaq Bell

Read More →

STOP-ARDS Clinical Trial

Steroid Therapy Optimization for Prevention of Acute Respiratory Distress Syndrome

Steroid Therapy Optimization for Prevention of Acute Respiratory Distress Syndrome (STOP-ARDS) is a randomized controlled trial evaluating hydrocortisone therapy in patients with Severe Acute Respiratory Infection (SARI) to prevent progression to Acute Respiratory Distress Syndrome (ARDS).

The trial uses Prenosis’ FDA Breakthrough Device-designated steroids companion diagnostic to test whether the algorithm can identify which patients hospitalized with SARI would either benefit from or be harmed by hydrocortisone treatment.

STOP-ARDS follows a prospective-retrospective design, evaluating the steroids companion diagnostic’s classification of patients as steroid-responsive (SR+) or non-responsive (SR−) against pre-specified performance criteria. The algorithm is not used to guide treatment or randomization decisions during the trial itself.

If the STOP-ARDS clinical trial demonstrates that the algorithm accurately identifies hydrocortisone responders, it will be locked for a future pivotal study assessing whether SR+ patients experience a significant reduction in ARDS compared with SR− patients.

STOP-ARDS is funded through Prenosis’ $20 million BARDA contract, awarded to advance a precision medicine platform for preventing and treating ARDS.