miRoncol Health
The miRoncol intelligence platform

Not one test. One platform built to expand.

miRoncol uses AI to recognize disease-associated patterns within broad microRNA profiles. Repeated profiles add personal context, while validated research may reveal more from appropriate earlier data.

miCheckup Published proof pointThe first peer-reviewed published miRNA-based multi-cancer early detection model.
One connected platform Built to expand
SHARED CORE microRNA intelligence AI · DATA · MODELS
INPUTBiological samplesBlood today. Additional sample research.
MEASUREMENTNGS and targeted PCRBroad profiles and focused assays.
COMPUTATIONAI-assisted modelsDisease-associated microRNA pattern recognition.
TIMEPersonal historyBaseline, change and trajectory.
RESEARCHNew analytical questionsRevisit appropriate preserved data.
APPLICATIONSFocused testsOne core, distinct validation paths.
01
Capture

Create a broad microRNA profile.

02
Recognize

Identify disease-associated patterns within the microRNA profile using AI.

03
Compare

Build personal context across repeated profiles.

04
Revisit

Ask new questions as validated research advances.

The longitudinal advantage

A profile captures the present. Its value can deepen over time.

A profile collected while you are healthy creates a biological starting point. Repeated profiles reveal personal change, while validated science may make existing data newly informative.

A physician and patient reviewing health information together, with both faces visible
A biological record designed to build personal context over time
Imagine what an earlier profile could reveal

Investigate sooner, potentially before symptoms appear.

If future research validates microRNA patterns associated with progression toward type 2 diabetes or early neurodegenerative change, the platform could examine existing profiles for those patterns while a person still feels healthy.

A relevant signal could provide a reason to investigate sooner, before symptoms appear. It would not be a diagnosis. It would be a reason to look more closely.
01
Start healthy

Capture a broad profile before symptoms.

02
Track change

See how personal patterns evolve.

03
Revisit

Ask new questions as science advances.

Explore longitudinal intelligence
One microRNA intelligence platform. Four major chronic disease areas.

A multi-cancer early detection test is already built from the platform. That is the starting point.

Oncology is not simply a research direction. miCheckup translates the platform's published oncology research into a focused application. Cardiovascular, neurodegenerative and metabolic disease are the next research directions.

The platform already powers

Canada's microRNA multi-cancer early detection blood test.

miCheckup is a real application of the platform, grounded in the first peer-reviewed published miRNA-based MCED model.

From a published oncology application into three additional research directions

Research direction

Cardiovascular

Investigating microRNA patterns connected to cardiovascular biology.

Research direction

Neurodegenerative

Investigating patterns connected to neurological decline.

Research direction

Metabolic

Investigating patterns connected to metabolic dysfunction.

The longitudinal opportunity

You cannot retest the past. You can preserve a biological record of it.

Start with a broad microRNA profile while you are healthy. Repeated profiles can help show whether a signal persists or changes over time. As research advances, appropriate existing data may be revisited without trying to recreate biology from months or years earlier.