Development and Prospective Implementation of a Large Language Model Based System for Early Sepsis Prediction

Development and prospective implementation of a large language model based system for early sepsis prediction

Sepsis is a dysregulated host response to infection with high mortality and morbidity. Early detection and intervention have been shown to improve patient outcomes, but existing computational models relying on structured electronic health record data often miss contextual information from unstructured clinical notes. This study introduces COMPOSER-LLM, an open-source large language model (LLM) integrated with the COMPOSER model to enhance early …

How Quickly Blood Cultures Detect Neonatal Sepsis

In neonatal intensive care units around the world, the race against time to diagnose sepsis remains one of the most urgent challenges clinicians face. Neonatal sepsis, a potentially life-threatening condition in newborns, demands immediate clinical attention, often prompting the early initiation of broad-spectrum antibiotics prior to confirmatory diagnostic results. A recent study led by Willey et al., published in the Journal of Perinatology in…

Can Diagnostics Aid in Alleviating Antimicrobial Resistance and Sepsis?

In our latest From Pathogen to Infectious Disease Diagnosis podcast, bioMérieux Chief Medical Officer Chuck Cooper, MD, discusses the burden of resistance, and insights on the company’s novel Vitek Compact Pro ID/AST system, which looks to identify infectious disease in a timely manner, and aid clinicians in diagnosing patients and streamlining antimicrobial treatment and avoiding severe complications such as sepsis.

The future of sepsis diagnostics

Explore the future of sepsis diagnostics with SepsiSTAT®, offering faster, more accurate detection and treatment guidance.