Science & Research
Cognitive HealthTech is developing a scientifically grounded approach to understanding cognitive change through behavioural information, artificial intelligence and longitudinal measurement.
Our work brings together cognitive science, behavioural analysis, academic research and technology development with a clear objective: to build a more personal and objective picture of cognitive performance over time.
The foundation
Cognitive performance is multidimensional. Attention, memory, language, executive functioning, perceptual motor function and social cognition interact continuously within everyday life.
Cognitive HealthTech’s approach has been developed around the principle that a richer understanding of cognitive performance requires multiple behavioural indicators to be considered together rather than relying on any single measure in isolation.
Step 01
Observable patterns within natural interaction.
Step 02
Behavioural indicators identified through research and development.
Step 03
Recognised areas of cognitive functioning.
Step 04
Context established from an individual's own patterns.
Step 05
Change considered over time rather than at one moment.
The cognitive framework
Cognitive domains are interconnected. Changes in behaviour may relate to more than one aspect of cognitive functioning.
Behavioural indicators
Cognitive HealthTech’s framework brings together more than 40 behavioural indicators identified through research and development work.
These indicators are intended to help create a multidimensional picture of cognitive performance from patterns within natural interaction.
Patterns within spoken interaction.
Patterns within communication and language use.
Behavioural information within natural visual interaction.
Patterns associated with engagement, attention and response.
How multiple behavioural signals combine within everyday interaction.
Individual indicators are considered together rather than in isolation. Signal families are illustrative groupings of the framework, not a complete indicator list.
Longitudinal measurement
Cognitive performance can vary between people and within the same person over time.
Cognitive HealthTech is being developed to establish an increasingly personalised baseline, creating context around subsequent behavioural observations and allowing patterns to be considered longitudinally.
Indicative visualisation for explanatory purposes. Does not represent study data.
A change from baseline is information — not a diagnosis.
Our research journey
01
Scientific literature and cognitive research informing the behavioural framework.
02
Development of the Cognitive HealthTech multidimensional framework and 40+ behavioural indicators.
03
Research and development activity with academic institutions and specialist expertise.
04
Work involving real-world data and algorithm training and development.
05
Validation activity designed to assess the technology within relevant healthcare contexts.
Status confirmation required
06
Progression towards appropriate healthcare technology, security and regulatory requirements.
Status confirmation required
Stages describe the development pathway rather than completed outcomes. No clinical validation results, regulatory approvals or certifications are claimed.
Collaboration
Developing meaningful cognitive-health technology requires expertise across cognitive science, behavioural research, data science, clinical practice and technology.
Cognitive HealthTech has developed through engagement with academic, innovation and healthcare communities.
Our research & innovation ecosystem
Logos indicate organisations within the research, innovation and healthcare ecosystem. The nature of each relationship is being confirmed and no specific partnership or endorsement is implied.
Evidence
This library will grow as research outputs, validation activity and technical work are confirmed for publication.
Peer-reviewed research
Year to be confirmed
Title, authors, publication, year, abstract excerpt and DOI or external link will be added once confirmed. No research outputs are claimed here in advance of confirmation.
Conference presentation
Year to be confirmed
Title, authors, publication, year, abstract excerpt and DOI or external link will be added once confirmed. No research outputs are claimed here in advance of confirmation.
Technical paper
Year to be confirmed
Title, authors, publication, year, abstract excerpt and DOI or external link will be added once confirmed. No research outputs are claimed here in advance of confirmation.
Placeholder entries. This section is structured so confirmed publications can be added over time.
Validation
Innovation in healthcare requires more than a compelling idea. It requires evidence that technology performs as intended, is safe to use and can create meaningful value within real healthcare environments.
Clinical validation forms an important part of Cognitive HealthTech’s development pathway.
01
Does the technology reliably capture and analyse the intended behavioural information?
Status confirmation required
02
How do the resulting measures relate to meaningful cognitive and clinical information?
Status confirmation required
03
How could the technology operate within real healthcare pathways and everyday environments?
Status confirmation required
Validation is a journey, not a badge.
Responsible development
Behavioural and cognitive information is deeply personal. Privacy, consent, transparency and responsible use of artificial intelligence must therefore be fundamental to how Cognitive HealthTech is developed.
People should understand when and how their information is being used.
Personal information should be protected throughout its lifecycle.
AI-supported insights should be presented clearly and responsibly.
Technology should support human decision-making rather than remove people from it.
Analysis is designed around consent and everyday interaction — not surveillance.
Governance
Cognitive HealthTech is progressing through the governance, security, validation and regulatory requirements appropriate to its intended healthcare applications.
Safety considerations appropriate to intended healthcare use.
Protection of personal information across its lifecycle.
Security practices appropriate to health technology.
Governance expectations within digital health settings.
Requirements relevant to intended healthcare applications.
No certifications, approvals or regulatory designations have been achieved. Specific frameworks will be named only once confirmed.
Collaborate with us
We’re interested in conversations with researchers, clinicians, healthcare organisations and innovation partners who share our ambition to improve how cognitive change is understood.
