Prenosis

About Prenosis

Prenosis is a health technology company that developed an artificial intelligence (AI) platform for precision diagnostics in acute care. Founded in 2014 by Bobby Reddy, Jr. and Rashid Bashir, the Chicago-based firm is a spinout from the University of Illinois Urbana-Champaign. Reddy, the CEO, was inspired to bring the precision medicine approaches used in oncology to acute care settings. Bashir, an academic co-founder, is the Dean of the Grainger College of Engineering at the University of Illinois and has a background in bioengineering and electrical engineering.

The company's core product is the Sepsis ImmunoScore™, the first AI/machine learning software as a medical device (AI SaMD) to receive De Novo marketing authorization from the U.S. Food & Drug Administration (FDA) for sepsis diagnosis. This tool integrates into a hospital's Electronic Medical Records (EMR) to aid clinicians in assessing a patient's risk of developing or progressing to sepsis within 24 hours. The software analyzes 22 different clinical and biological parameters, such as inflammatory biomarkers and vital signs, to generate a risk score and stratify patients into one of four risk categories. This provides clinicians with predictive insights, rather than just an alert, to help guide faster and more personalized treatment decisions.

Prenosis's business model is centered on providing its software to hospitals and healthcare systems, which helps them improve patient outcomes, manage resources, and enhance compliance with quality metrics like the Centers for Medicare & Medicaid Services (CMS) SEP-1 bundle. The company generates revenue through subscriptions to its ImmunoScore product, with pricing varying by the client's size and needs. To commercialize its technology, Prenosis has an exclusive distribution partnership with Roche Diagnostics to sell the Sepsis ImmunoScore™ across the United States. The technology is built on the company's proprietary Immunix™ platform, which is powered by one of the world's largest biobanks and datasets for acute care infections, containing over 100,000 blood samples from more than 25,000 patients.