Presymptom Health develops AI-based diagnostic blood tests that provide rapid and accurate detection of infections, including sepsis, with a ruling-out accuracy of 95-99%. Their technology addresses the critical need for timely infection diagnosis, reducing unnecessary hospital admissions and combating antimicrobial resistance.
Funding
$4.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current diagnostic techniques for infection lack the speed and reliability needed for timely clinical decision-making. This can lead to delayed diagnoses, increased healthcare costs, unnecessary hospital admissions, and the overuse of antibiotics, contributing to antimicrobial resistance.
Solution
Presymptom Health is developing a portfolio of AI-driven diagnostic blood tests for rapid and accurate infection detection. Their pathogen-agnostic approach focuses on analyzing changes in the patient's immune system at the onset of infection. The company's first product, InfectiClear®, is designed to rule out infection with high accuracy, enabling clinicians to pursue alternative diagnoses and avoid unnecessary antibiotic prescriptions. The technology utilizes machine learning algorithms trained on a large clinical dataset of over 150,000 blood samples from 5,500 patients across seven clinical trials. By providing faster and more reliable information about the presence or absence of infection, Presymptom Health aims to transform patient care pathways, reduce healthcare costs, and combat antimicrobial resistance.
Target Audience
The primary target audience includes healthcare providers, hospitals, and clinical laboratories seeking to improve the speed and accuracy of infection diagnosis and reduce unnecessary antibiotic use.
Features
- AI-based diagnostic blood tests for rapid infection detection
- Pathogen-agnostic approach analyzing immune system response
- InfectiClear® test designed to rule out infection with 95-99% accuracy
- Machine learning algorithms trained on a large clinical dataset
- Results available in 40-60 minutes