Decision-ready diagnostics for CAD
CORONARY FLOW - Disruptive AI Diagnostic Software
INNOVATION
PATENTED NOVEL HYBRID TECHNOLOGY ENABLING SUPERIOR ACCURACY AND SCALBILITY.
ACCURACY
COMPARED TO WIRE BASED INVASIVE FFR IN TRIALS WITH HIGH CLINICAL ACCURACY.
VALIDATION
PEER-REVIEWED PUBLICATIONS IN TOP TIER JOURNALS AND CONFERENCES, INCLUDING NATURE AI & EUROPCR.
PURPOSE
ENABLE CARDIOLOGISTS TO IDENTIFY WHETHER A LESION IS TRULY ISCHEMIA-CAUSING.
SEAMLESS WORKFLOW integration
How it works
STEP 1: CCTA acquisition
STEP 2: Biome results in PACS / workstation
STEP 3: Editable clinical report
What We Change
for Cardiologists
Clear functional FFR assessment directly from routine CT
Reliable identification of lesions that truly require intervention
Objective support for difficult treatment decisions
Seamless integration into existing workflow
What We Change
for the Patient
Less unnecessary invasive procedures. More personalized, evidence-based care
Reduced exposure to procedural risks
Earlier and more accurate detection of clinically significant disease
Better follow-up of intermediate stenoses over time
About Us
BIOME Science, founded in 2021, is developing CORONARY FLOW, the next generation AI diagnostic software transforming cardiac imaging using AI and physics, for the non-invasive assessment of coronary flow and stenoses.
BIOME improves clinical decision-making for the treatment of coronary heart disease.
Our Mission
BIOME Science is building the next generation of AI diagnostic software for coronary artery diseases in CCTA imaging, which enables cardiologists to determine whether a lesion truly causes ischemia. As a result, patients are not sent for unnecessary invasive procedures, while it is ensured that the severity of a lesion is sufficiently monitored.
Unique AI
architecture &
Patient-specific
Digital Twin
why we are different?
What we are working on
The Human & Systemic Problem
- Like cancer, CAD is a multifactor disease that current non-invasive tech fails to assess accurately
- Diagnostic uncertainty in intermediate lesions drives: → up to 60% of avoidable and sometimes dangerous invasive procedures → unnecessary stenting → procedural complications with increased healthcare costs → Poor and inefficient CAD screening and monitoring
- False positives lead to overtreatment. False negatives delay critical intervention. Physicians lack a reliable, fast, non-invasive tool for accurate patient CAD detection, decision and monitoring.
Why experts trust us
Biome developed a patented CCTA-driven FFR engine that merges data learning with physics through a unique AI architecture.
By combining computational fluid dynamics, experimental hemodynamic validation, and multi-factor clinical data, this hybrid model achieves around 93% accuracy compared to invasive wire-based FFR, offering physics-grade reliability at AI speed.
Biome's breakthrough lies in its unique AI architecture — trained on three complementary data streams that work in concert:
- Physics-based CFD simulations that capture the true mechanics of coronary blood flow
- Experimental hemodynamic data from rigorous in-vitro validation
- Real clinical imaging and multi-factor patient data that grounds every prediction in clinical reality
CORONARY FLOW AT A GLANCE
- High negative & positive predictive FFR values
- Visualizes plaque burden + vessel wall
- Accurate first-line test in stable chest pain
- Seamless integration in clinical workflows
Automatic upload at the end of acquisition
Cloud-based or On-Premise FFR-CT
Results pushed back automatically in PACS
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min clinical report
% accuracy
research & partnership
Key clinical studies & publications
June 2026
Experimental and theoretical evaluation of pressure drop in arterial stenoses: in vitro and in vivo multifactor analysis
Computational and Mathematical Biomedical Engineering
November 2025
Deep operator learning for blood flow modelling in stenosed vessels
npj Artificial Intelligence
August 2025
Investigation of the pressure drop in arterial models with stenoses using numerical and experimental in vitro approaches: effect of elasticity
Numerical methods in Biomedical Engineering
June 2024
Experimental in vitro evaluation of pressure drops in elastic arterial models with stenoses
Computational and Mathematical Biomedical Engineering
June 2024
Experimental in vitro evaluation of pressure drops in elastic arterial models with stenoses
Computational and Mathematical Biomedical Engineering
Voices of medical experts
Opinions of advisors & future clients
Dr. Virgile Chevance
Radiologist
Paris Saint-Joseph & Marie-Lannelongue Hospitals
Interventional Radiologist CV
CHU Lille
Radiologist CV
American Hosp. of Paris
Radiologist CV
CHU Nime
Glossary
Coronary flow glossary
FFR
FFR* (Fractional flow reserve) is a pressure- based index of the functional significance of epicardial coronary stenoses. It is defined as the ratio of the hyperemic distal pressure to the aortic pressure.
Angioplasty
Angioplasty* is a procedure used to open blocked coronary arteries caused by coronary artery disease. It restores blood flow to the heart muscle without open-heart surgery.
BMI
BMI* (Body Mass Index) - is a numerical value of your weight in relation to your height.
Stenosis grey zone
The FFR grey zone* refers to intermediate coronary lesions being arterial narrowing of moderate severity—typically 40–69% stenosis with FFR values ranging approximately from 0.7 to 0.85.
CCTA
The CT Coronary Angiography (CCTA)* is a medical imaging modality that uses X-rays to visualize the coronary arteries in search of narrowing and/or calcifications.
ICA
Invasive Coronary Angiography (ICA)* has long been regarded as the gold standard for diagnosing and assessing coronary artery disease in patients with stable angina.
Comorbidities
Comorbidities* refer to medical conditions that exist alongside a primary diagnosis and can impact your overall health, treatment, and prognosis.



