Biology before disease labels
We begin with the patient’s biological state, not a category assigned after the fact.
Technology / Our approach
One substrate.
Every patient as a connected system.
We do not start with diseases. We start with biology.
The idea
The body does not work in fragments.
Healthcare AI has spent too long optimizing fragments. One disease. One model. One dashboard. One probability score. One workflow.
But the body is not organized by hospital department or billing code. It is a living system of organs, biomarkers, feedback loops, compensations, failures and recoveries.
If we want medicine to become truly predictive and personal, we cannot model disease labels alone. We have to model biology.
That is why we built Hale-X.
One patient model
Many data streams. One biological state.
Replica brings fragmented clinical information into one patient specific, time aware and explainable representation of health.
Vitals
Labs
Treatments
Imaging
longitudinal context
BIOLOGICAL PATIENT LAYERReplicaState · trajectory · evidence · uncertainty
focused application
Anali-XICU research programme
New clinical questionsBuilt on the same patient model
The applications may differ. The patient model underneath them does not.
What we are building
A persistent model of the patient beneath healthcare AI.
Today, AI systems can predict outcomes. What is often missing is a coherent representation of the individual biology producing those outcomes.
Hale-X is building a biology first digital twin platform for precision healthcare. It brings clinical history, laboratory results, vital signs, treatment events, device data, imaging metadata and omics when available into a patient specific representation that evolves through time.
Our vision is one twin per patient. Not because a twin should replace clinical judgement, but because patients are not averages. Their baseline matters. Their trajectory matters. Their response to treatment matters. Their biology matters.
Inside the substrate
From fragmented records to a state linked to evidence.
Replica aligns observations through time, relates them across biological systems and keeps modelled interpretations distinct from their supporting evidence.
Clinical teams
Researchers
Life science partners
questions
INTERACTION LAYER
FOCUSED APPLICATIONSApplications for specific clinical domains, built on one patient model
Anali-XICU research programme
contextual query
BIOLOGICAL MODEL
REPLICABiological state of the individual patient
Current stateWhat the evidence supports now
TrajectoryHow the state is changing
UncertaintyConfidence and unresolved evidence
ProvenanceSources supporting each interpretation
state reconstruction
TIME LAYER
LONGITUDINAL ALIGNMENTOne patient timeline linked to evidence
Clinical recordsevents · diagnoses
Laboratorybiomarkers · trends
Vital signscontinuous signals
Medicationsexposure · response
Imaging metadatafindings · context
Wearables & contextbaseline · behaviour
Replica is a research stage platform and is not a diagnostic system.
Evidence before scores
A medical prediction without evidence is not intelligence. It is noise.
We believe a clinical AI system should never return a naked probability. It should show what supports the result: the source data, biomarkers, physiological systems, uncertainty, literature and reasoning path.
We also believe the clinician must remain in control. The machine may calculate. The clinician must decide.
What Hale-X stands for
Five choices that shape how we build.
Patients before averages
A patient’s baseline, trajectory and response to treatment matter. Their own history is part of the model.
Evidence before scores
Every output should remain connected to the observations, systems, sources and uncertainty behind it.
Clinicians before automation
The machine may calculate. The clinician must remain in control of the decision.
Trust before scale
Privacy, auditability and responsible governance belong in the architecture from the beginning.
Built from Europe
Healthcare AI deserves a different foundation.
Europe has a responsibility to build healthcare AI with sovereignty, privacy, auditability and patient protection at its core. For us, GDPR, the MDR, the AI Act and the European Health Data Space are not afterthoughts. They shape the way the platform is designed and governed.
Our direction
The last decade helped medicine digitize data.
The next must help medicine understand biology.
That is what Hale-X is here to build.