Measurement infrastructure for precision neurology
Make cognition measurable
Cognition changes long before a diagnosis. General Cognitive captures multimodal signals over time and integrates them into a single longitudinal trajectory — a Digital Neuro Fingerprint — designed for clinical trials and real-world care.
- Speech & Language
- Visual & Oculomotor
- Neuromotor
- Cognitive Tasks
- Physiological
Illustrative interface — not patient data.
- Multimodal
- Cognitive, behavioral, neuromotor & physiological signals
- Longitudinal
- Repeated measurement, not a single snapshot
- Peer-reviewed
- Grounded in a published scientific framework
- Academic
- MOU with the University of Miami
The measurement gap
Today’s cognitive assessment is episodic, coarse, and easy to miss
Standard cognitive screening captures a single moment with low resolution. Subtle, early functional change unfolds continuously and across multiple systems — and most of it is never measured.
Episodic
Brief, infrequent tests miss the trajectory between visits where meaningful change happens.
Single-modality
Most tools observe one channel, while real cognitive change shows up across many systems at once.
Low resolution
Coarse cutoffs flatten nuanced, patient-specific signals into a pass/fail score.
Hard to act on
Results rarely translate into a longitudinal, decision-ready picture for clinicians or trials.
Modalities
Many signals, captured continuously
General Cognitive captures complementary streams of real-world signal. These modalities are the raw inputs — distinct from the functional dimensions they help characterize.
Acoustic and linguistic features
Timing, fluency, prosody, and lexical patterns captured from natural spoken tasks.
Functional dimensions
What the signals help characterize
Modalities are the inputs. Functional dimensions are the clinically meaningful axes those signals help describe across the lifespan of a measurement.
Cognitive
Memory, attention, language, and executive function measured with adaptive tasks.
Behavioral
Real-world behavioral patterns and engagement observed over time.
Neuromotor
Movement, coordination, and fine-motor control as early functional indicators.
Physiological
Autonomic, activity, and sleep signals that contextualize cognitive change.
How the fingerprint is built
Anchor. Enrich. Integrate. Translate.
Validated clinical anchors retain their role. The Digital Neuro Fingerprint is an anchor-linked longitudinal representation — not a standalone diagnosis, a replacement endpoint, or a magical composite score.
- 01
Anchor
Establish a validated clinical reference point that grounds every subsequent measurement.
- 02
Enrich
Layer in multimodal digital signals collected repeatedly in trials and in real-world care.
- 03
Integrate
Combine signals over time into a single, patient-specific longitudinal trajectory.
- 04
Translate
Turn the trajectory into decision-ready measurement for clinicians and study teams.
The scientific cornerstone
Merging multimodal digital biomarkers into “Digital Neuro Fingerprints” for precision neurology in dementias: the promise of the right treatment for the right patient at the right time in the age of AI
- Authors
- Ioannis Tarnanas, Azizi Seixas, Martin Wyss, Panagiotis Vlamos, Arzu Çöltekin
- Journal
- Frontiers in Digital Health
- Published
- January 12, 2026
- Type
- Perspective
The paper defines the scientific thesis. General Cognitive is building the infrastructure required to operationalize it.
From framework to infrastructure
From framework to infrastructure
Dr. Ioannis Tarnanas and Dr. Azizi Seixas helped articulate a new model for precision neurology: a patient-specific Digital Neuro Fingerprint constructed from multimodal signals collected over time. At General Cognitive, they are working with the broader scientific, clinical, and engineering team to move that framework from publication into deployable measurement infrastructure.
Dr. Ioannis Tarnanas
Founding Board Member & Senior Advisor
Digital cognitive biomarkers & machine vision
Dr. Azizi Seixas
Scientific Advisor
Clinical science, informatics & health equity
Academic translation
Building a research relationship with the University of Miami
General Cognitive has executed a memorandum of understanding with the University of Miami to support a research relationship involving clinical infrastructure, faculty collaboration, and pathways toward peer-reviewed validation.
The relationship is growing through The Media and Innovation Lab, founded and directed by Dr. Azizi Seixas, with areas of collaboration centered on multimodal data, health informatics, study design, clinical translation, and responsible deployment.
All research, patient access, data use, and study activity remain subject to project-specific agreements, institutional approvals, privacy requirements, and IRB review.
One platform, two deployment pathways
Built once. Deployed where cognition matters most.
The same measurement infrastructure serves two complementary environments — each strengthening the other.
Clinical Trials
Sensitive, longitudinal digital endpoints designed to detect change earlier and with more resolution than episodic assessment.
- Repeated multimodal measurement across the study timeline
- Endpoints designed for sensitivity to early functional change
- Structured data built for analysis and regulatory scrutiny
Clinical Practice
Objective cognitive measurement embedded in real clinical workflows, supporting clinicians with a longitudinal view.
- Fits into existing care without disrupting the visit
- Builds a longitudinal picture across encounters
- Surfaces change that episodic screening can miss
Platform architecture
Four layers, one measurement system
Multimodal capture
Collect cognitive, behavioral, neuromotor, and physiological signals across devices and settings.
Signal processing
Extract robust, interpretable features from raw multimodal data with quality controls.
Longitudinal integration
Fuse features over time into a patient-specific Digital Neuro Fingerprint trajectory.
Decision-ready delivery
Present trajectories and measurement to trials and clinicians through secure interfaces.
The learning flywheel
Practice and trials compound each other
Real-world clinical measurement and rigorous trial data form a virtuous cycle — each improving the sensitivity and relevance of the other.
Clinical practice generates real-world signal
Embedded measurement captures longitudinal cognition across diverse, everyday care settings.
Trials provide rigorous validation
Controlled studies sharpen which signals matter and how sensitively they track change.
Validated measurement returns to practice
Findings flow back into real-world tools, raising the quality of everyday measurement.
Better practice data strengthens future trials
Richer real-world data informs the design and power of the next generation of studies.
Collaborate with General Cognitive
Let’s make cognition measurable together
We work with study teams, clinicians, and research partners to deploy multimodal cognitive measurement. Tell us about your study or clinical setting.