Virtual index
Estimate the physiological endpoint supported by the evidence — such as virtual FFR, iFR or RFR — with uncertainty.
Physiology Intelligence Platform
Virtual coronary physiology
from routine angiography.
A unique solution for Indian cathlabs, that reconstructs coronary physiology indices FFR, iFR and RFR — with uncertainty and abstention built into the inference.
THE IDEA
Clinical Decision Support
Built different
Geometry-aware
Transport-informed
Uncertainty-aware
The endpoint is not assumed. It is earned by observability, model support and calibration.
Illustrative · synthetic case · not for clinical use
Research-stage interface — physiology endpoint, uncertainty and abstention are outputs of the inference process.
Abstention first · Drug free when possible · Wire Free
Research-stage development from routine cine angiography.
The clinical question
Can angiography support
a physiological decision?
The goal is to identify when the acquisition supports virtual FFR/iFR or RFR.
DECISION-IDENTIFIABLE CORONARY PHYSIOLOGYWe make the physiological information boundary explicit
MEASURE
When angiography is not enough, identify invasive physiology as the next information source.
ABSTAIN
Do not collapse multiple compatible physiologies into one precise-looking number.
Decision-identifiable · phenotype-aware · calibrated · abstention-native
How it works
From acquisition
to supported physiology evidence.
We combine anatomy, contrast transport and reduced physiological modelling, then quantify what the data can and cannot support.
01 · ObserveCineRoutine angiographic observations
02 · StructureGeometryVessel shape, branches and motion
03 · TransportContrast + pressureArrival, delay, dispersion and hemodynamic information
04 · InferPhysiology engineConstrain latent flow, pressure and resistance states
05 · OutputVirtual FFR / iFR / RFROnly when the evidence supports the endpoint; otherwise MEASURE
Core idea. The model produces only what the available observations and parameters can justify.
Initial research focus: virtual FFR, iFR and RFR.Additional physiological endpoints are investigated only as observability and validation permit.
About the team
Tailored for INDIAN cathlabs
Insiliqo is an independent research initiative bringing together subject-matter experts towards developing a medical device at the intersection of clinical cardiology, scientific computing and software engineering.
We work with clinical teams on retrospective, de-identified cath-lab data to investigate physiological questions and turn them into structured, reproducible evidence.
Research use only. Not validated, cleared or approved for patient care.
Collaborate with us
Have a cohort?
Have a research question?
Bring the clinical question and retrospective cohort. We bring the modelling, compute and research workflow to investigate it.
YOU KEEPData under institutional control.Work begins only through the agreed data-governance pathway.
YOU BUILDResearch outputs with your clinical team.Questions, analysis, manuscripts and evidence developed with the contributing investigators.
IEC approvalSigned DUADPDP-aware governanceDe-identified data only
Do not email angiograms, reports, patient names, UHID or other identifiable data. This is a research-stage medical device in development — not validated, cleared or approved for clinical use.