Science & Research

Built on research.
Advancing through validation.

A scientifically grounded framework, developed with academic partners and now progressing through active development and validation.

Researchers reviewing cognitive data on a monitor

In partnership with research, innovation and healthcare

  • UKRI
  • Innovate UK
  • University of Sheffield
  • Teesside University
  • Health Innovation North East and North Cumbria
  • Tees Valley Combined Authority
  • Pioneer
  • STFC

Scientific foundation

Where the measurement framework came from.

Cognitive HealthTech’s framework grew from research exploring how subtle changes in cognitive functioning could be measured more objectively over time.

The original manually applied framework contained approximately 120 behavioural indicators, informed by literature review and clinically relevant cognitive measures. The current AI-enabled framework focuses on more than 40 indicators selected for AI-supported analysis.

The cognitive framework

Six interconnected domains.
One broader picture of cognition.

Cognitive
functioning

Cognitive domains are interconnected. Changes in behaviour may relate to more than one aspect of cognitive functioning.

Our research journey

From scientific foundation to real-world validation.

  • Established
  • Active
  1. 01

    Research Foundation

    Literature review and early cognitive framework development.

  2. 02

    Framework Development

    Behavioural indicators and cognitive-domain structure refined.

  3. 03

    Academic Collaboration

    Research and development progressed through collaboration with academic partners.

  4. 04

    Data & Algorithm Development

    Real-world data used to support AI and algorithm development.

  5. 05

    Clinical Validation

    Next-stage clinical validation activity being prepared and progressed.

  6. 06

    Regulatory Pathway

    Governance, clinical safety and future medical-device requirements being addressed as development progresses.

Academic & research collaboration

Built through collaboration.

Cognitive HealthTech has developed through collaboration with academic, innovation and healthcare communities, each contributing a distinct area of expertise.

Contemporary university research building

University relationships

  • University of Sheffield

    University of Sheffield

    Research origin & framework development

    The original research and measurement-framework work originated through research associated with the University of Sheffield.

  • Northumbria University

    Northumbria University

    UKRI-supported research & data collaboration

    Northumbria University supported work associated with collection of real-world cognitive-health data used in algorithm development.

  • Newcastle University

    Newcastle University

    Data visualisation & product experience

    Current work includes support around how algorithm-generated data is visualised and presented through the product experience.

What partners say

Trusted by clinicians, researchers and innovators.

“CHT's platform addresses a critical unmet need in dementia diagnostics. HI NENC is committed to supporting innovations that shorten time to diagnosis, reduce health inequalities and deliver scalable impact across the NHS.”

Dr Stephen LynnAssociate Director – Commercial, Health Innovation North East and North Cumbria

Dr Stephen Lynn · 1 of 4

Validation

Validation is a journey, not a badge.

  • 01

    Technical Validation

    Algorithm and product development continue using real-world data and iterative testing.

    Active

  • 02

    Clinical Validation

    Formal clinical validation of the AI-enabled platform is being prepared with healthcare and research partners.

    Next stage

  • 03

    Real-World Validation

    CHT is working with healthcare organisations to prepare future evaluation and pilot activity.

    Healthcare engagement underway

Two people in warm, natural conversation

Responsible AI & governance

Responsible development by design.

Behavioural and cognitive information is deeply personal. CHT is not intended to operate as hidden surveillance: analysis is designed around consent and everyday interaction.

Consent

Individuals should understand and control how their information is used.

Privacy

Cognitive and behavioural data requires careful handling and appropriate safeguards.

Transparency

AI-supported insight should be explainable and used within an appropriate human context.

Human Oversight

CHT is being developed to support clinical judgement, not replace it.

Governance status

  • Clinical safety

    Progressing alongside MVP completion

  • Data protection

    Safeguards appropriate to health data

  • Cybersecurity

    Cyber Essentials planned

  • DTAC

    Substantially progressed

  • Regulatory pathway

    Early stage

Formal approvals and certifications will be stated only when achieved.

Collaborate with us

Better evidence is built together.

We welcome conversations with researchers, healthcare organisations and partners interested in advancing the evidence behind more personal approaches to cognitive health.