Decision support, not a diagnosis GDPR & EU health-data compliant
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NeuraScore™ engine

One transdiagnostic engine. Every system it reads, in context.

The same seven systems sit beneath conditions medicine files under different names. NeuraScore™ reads the systems, not the label, and reads every value against the circumstances it was measured in.

Systems, not labels Read in context Traceable to source Not a diagnosis
Same systemsThree condition families
Glucose metabolism
Insulin resistance
Liver
Kidney
Inflammation
Stress axis
Sleep–wake rhythm
Read Context only Not read Illustrative
{r} read · {c} context
How a reading is built

A routine sample, its circumstances, and four honest states.

A glucose drawn two hours after lunch is not a fasting glucose. The reading says so, and names the repeat that would settle it.

Sample
+ context
Context & quality
checks
Systems read
side by side
Reading for a
professional
Follow-up
over time
Shown
Supported, and nothing in the context explains it away.
Suggested
One marker points that way. Not carried as a finding.
Needs a repeat
The value stands; the conclusion waits.
Never measured
Named as absent, not left as a silence.
One engine, many modules

The same core, module after module, each with an honest status.

See the platform →
Most advanced01
Metabolic
Glycaemia · insulin resistance · liver · kidney
Routine blood panel plus context. Declines out-of-scope panels: a diagnosed diabetes, a pregnancy.
In development02
Diabetes
For people already diagnosed
Same engine; scope starts where the metabolic module declines.
Research · lead03
Burnout
The biology beneath mental health
Where self-report and biology diverge. Our long-term research programme. Read more →
Research Overtraining ADHD PTSD Addiction Cognitive declinerouting only
What it is, what it is not
Built and tested on real public health-survey cohorts. Deterministic, frozen rules, every line traceable to its source.
—Decision support for a qualified professional, not a diagnosis.
—Not a screening test, and not a substitute for clinical assessment.
—Does not say who will develop a condition.
—Research and development stage; not CE-marked. Quality system being built along ISO 13485.

Tell us which reading you need. We will show you how it is built.

Employers, occupational-health teams, clinicians, laboratories, research partners and investors. Methodology under NDA.

Built with our research and industry partners
The NeuraScore™ engine platform

A revolutionary data signal-processing architecture in biology.

One deterministic, auditable engine turns routine biology into a stratified signal, reused condition after condition.

Signal path
inputs → gating → convergence → output
01
Inputs
A single routine urine or blood sample and a controlled questionnaire enter together.
Routine biology
multiple independent axes, one sample
Structured context
a questionnaire that cleans interpretation
02
Quality & gating
Preanalytic QC and explicit gates set what each sample is allowed to claim. Known confounds are handled before anything is scored.
QC checks Hard gates Confounds
03Core
Convergence engine
Independent signals must agree. The engine weighs the convergence of patterns, never a sum of markers.
04
Stratified output
NeuraScore
Confidence tier
Pattern & subtype
Action & retest
Confidence
Golden thread · auditable end to end
every result traces from intake to export
OrderSampleRuleEvidenceAudit
Foundation
SOP & sample stability
Pseudonymised & governed
Modular platform scale-out
Why it holds up
[ I ]
Fully auditable.

Every result traces back to its graded evidence and stays reviewable end to end, never a black box.

[ II ]
Governed by design.

The runtime is deterministic. Rules stay frozen and versioned; nothing is improvised per sample.

[ III ]
Reusable core.

Each module adds a rule pack; the engine core is unchanged, decreasing cost per condition.

In plain terms
Explicit gateA hard rule that decides what a sample is allowed to claim before it is scored.ConfoundsOutside factors, such as illness, medication or timing, that can distort a biological signal.Modular scale-outAdding new conditions as separate rule packs on the same core engine.Graded evidenceFindings weighted by how strong the supporting research is.Deterministic runtimeThe same inputs always produce the same result, with no randomness.Frozen & versioned rulesScoring rules are locked and version-tracked, never changed per sample.
Beyond one sample, beyond one disease

Matrix-agnostic. Condition-agnostic.

The core does not care which sample it reads or which condition it is asked about. It scores the biology it is given, stratifies risk into tiers, and reroutes each person to the right next step when one is needed.

Any routine matrix
UrineSalivaDried bloodPlasma
Whatever a clinic or study can realistically collect, the engine reads.
Any condition
MetabolicDiabetesBurnoutOvertrainingADHDPTSDAddictionCognitive decline
Each a rule pack on the same core. The stratification logic never changes.
Stratify & routeper person
Low signal loadMonitor & retest
ModerateGuided support
ElevatedClinical referral
Masked / unclearFlag for human review
A stratification and triage layer that decides where a person goes next.
The module library · eight modules, one engine
Most advanced
NeuraScore: Metabolic
Glycaemia · insulin resistance · liver · kidney
Routine panel plus context. Declines out-of-scope panels: a diagnosed diabetes, a pregnancy.
In development
NeuraScore: Diabetes
For people already diagnosed
Same engine; scope starts where the metabolic module declines.
Research · lead
NeuraScore: Burnout
Occupational burnout
The lead research module: biological stratification of work strain, with masked-burnout detection.
Research
NeuraScore: Overtraining
Overtraining syndrome
Recovery-first routing for athletes and high-load populations.
Research
NeuraScore: ADHD
Attention regulation
Objective profiling to complement subjective screening tools.
Research
NeuraScore: PTSD
Trauma burden
Directionality of the stress response as the differentiating signal.
Research
NeuraScore: Addiction
Substance use
Reward-axis biology mapped onto the same convergence logic.
Research
NeuraScore: Cognitive decline
Neurodegeneration
Neurodegeneration read on the same convergence logic, in a plasma matrix.

Research and development stage; no module is CE-marked. Quality system being built along ISO 13485.

Scientific basis

Reading biology as systems, not categories., not category.

Metabolic, mental and neurodegenerative conditions overlap on the same biological systems. We read those systems, not discrete boxes.

A shared spectrum

Conditions are regions on one biological continuum, not separate boxes.

Anxiety Depression PTSD Burnout One personsits in the overlap lower signal load higher signal load
Anxiety Burnout Depression PTSD
The same biological systems recur across burnout, depression, anxiety and trauma with different signatures. NeuraScore reads where on the continuum a person sits, not which box they belong to.

The body is a metabolic system before it is a psychiatric category: we read the system, not the label.

NeuraCorp founding principle
In plain terms

NeuraSens reads biology across metabolic, mental and neurodegenerative conditions rather than from questionnaires alone. From a routine urine or blood panel we measure a set of biological signals and turn them into a clear, stratified score. The rest of this page explains the two scientific lenses we use to read those signals, and why one biology can speak to several conditions.

Conditions rarely map to a single marker. The same biological signals regroup depending on the scientific lens you read them through.

Interactive · switch the lens
Two lenses, one set of signals.
The same biological signals
RDoC domains
RDoC · Research Domain Criteria

The US National Institute of Mental Health framework replaces diagnostic labels with measurable functional domains: arousal and regulatory systems, negative and positive valence, cognition and social processes. A person is described by where they sit on each domain, read from biology, rather than by the category they were assigned.

Arousal & RegulatoryHow the body ramps up and settles down: the stress (HPA) axis and the sleep-wake balance.Negative ValenceSystems for threat, fear and loss that drive low mood and anxiety.Cognitive SystemsAttention, memory and mental control.
Metabolic psychiatry

A fast-growing field that treats many psychiatric conditions as, in part, disorders of energy metabolism, inflammation and circadian regulation. It looks for the mechanism beneath the symptom: mitochondrial function, HPA-axis load and immune signalling, and reads mental health as a systemic, measurable state.

Energy metabolismHow cells produce and use energy, including mitochondrial function.InflammationLow-grade immune activation that can affect the brain.Circadian regulationThe body’s daily clock governing sleep, hormones and rhythm.Oxidative stressCellular wear from an imbalance of reactive molecules.
Validation in progress

The rule base is built from a graded, DOI-traceable literature corpus and tested on public health-survey cohorts. The burnout module is being validated on a cohort of Walloon workers against established burnout inventories, with explicit detection of masked burnout, where biology and self-report diverge., where biology and self-report diverge.

The team

A focused team across science, data & strategy.

A core team, specialist consultants and Walloon subcontractors, coordinated end to end.

AD
Ameur Dhouieb
Founder / CEO
Designed the NeuraScore architecture and leads platform strategy and B2B pilots.
Core competences
NeuraScore architectureSignal-processing designPrecision-health strategy
MA · Science, Technology & Innovation, HSE UniversityLinkedIn
OB
Olivia Barada
Chief Scientific Officer
Owns the scientific programme: the graded literature corpus, the rule base behind each module and the validation strategy.
Core competences
Scientific programmeLiterature gradingBiomarker scienceModule validation
LinkedIn
EB
Emma Biggs
Health Psychology Lead
Designs the structured-context instrument that guards interpretation against behavioural confounds.
Core competences
Health psychologyCognitive neuroscienceReal-world dataNeuroimaging
PhD · Psychology, KU Leuven & Maastricht
LinkedIn
CR
Claudio Reggiani
Data Engineering & ML
Builds the data pipeline and calibration models behind each module.
Core competences
Data engineeringMachine learningCloud / AWSGenomics pipelines
PhD · Computer Science, ULB
LinkedIn
KP
Katty Prentice
COO
Runs CRO coordination, regulatory strategy (IVDR/CE) and day-to-day operations.
Core competences
Project managementRegulatory affairsCRO coordinationScientific writing
PhD · Biosystems Engineering, Ghent University
LinkedIn
TF
Thierry Ferain
Chief Innovation Officer
Connects NeuraSens to the Walloon research, development and innovation ecosystem.
Core competences
Innovation strategyTranslational researchPublic-private partnershipsR&D portfolio
PhD · Molecular Genetics, UCLouvain
LinkedIn
FB
François Blistein
Signal Processing & AI Engineer
Builds real-time signal-processing and edge-AI pipelines, from radar, LiDAR and medical imaging to production ML.
Core competences
Signal processingMachine learningEdge AIMedical imaging
MSc · Electrical Engineering, University of Liège
LinkedIn
Scientific advisory board

Independent scientific counsel.

Senior scientists who challenge the method from outside the company: analytical measurement, biomarker science and translational development.

GB
Geert Baggerman
Mass spectrometry & proteomics
Centre for Proteomics, University of Antwerp. Advises on analytical measurement and biomarker panel design.
LinkedIn
EC
Eric Ciamporcero
Translational development
PhD in translational oncology; senior R&D at 2 Bridge, Antwerp. Advises on scientific development and the step from bench to clinic.
LinkedIn
Contact

Want to talk to the team?

Employers, occupational-health teams, clinicians, laboratories, research partners and investors: request a briefing and we’ll set up a conversation.

Contact

Request a briefing.

For employers, occupational-health teams, clinicians, laboratories, research partners and investors. NeuraCorp SRL, Brussels.

Handled in confidence

Briefing requests and any shared data are treated under strict confidentiality and EU health-data standards. We sign NDAs on request.

Prefer email?

Write to us directly and we'll route your request to the right person.

hello@neurasens.be