Measurement infrastructure for precision neurology
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.
The scientific cornerstoneThe cornerstone paper behind General Cognitive's research: a framework for integrating multimodal digital biomarkers into longitudinal, patient-specific Digital Neuro Fingerprints.
Frontiers in Digital Health January 12, 2026
Read on PubMedThe measurement gap
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.
Brief, infrequent tests miss the trajectory between visits where meaningful change happens.
Most tools observe one channel, while real cognitive change shows up across many systems at once.
Coarse cutoffs flatten nuanced, patient-specific signals into a pass/fail score.
Results rarely translate into a longitudinal, decision-ready picture for clinicians or trials.
Modalities
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
Modalities are the inputs. Functional dimensions are the clinically meaningful axes those signals help describe across the lifespan of a measurement.
Memory, attention, language, and executive function measured with adaptive tasks.
Real-world behavioral patterns and engagement observed over time.
Movement, coordination, and fine-motor control as early functional indicators.
Autonomic, activity, and sleep signals that contextualize cognitive change.
How the fingerprint is built
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.
Establish a validated clinical reference point that grounds every subsequent measurement.
Layer in multimodal digital signals collected repeatedly in trials and in real-world care.
Combine signals over time into a single, patient-specific longitudinal trajectory.
Turn the trajectory into decision-ready measurement for clinicians and study teams.
The scientific cornerstone
The paper defines the scientific thesis. General Cognitive is building the infrastructure required to operationalize it.
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.
Founding Board Member & Senior Advisor
Digital cognitive biomarkers & machine vision
Scientific Advisor
Clinical science, informatics & health equity
Academic translation
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
The same measurement infrastructure serves two complementary environments — each strengthening the other.
Sensitive, longitudinal digital endpoints designed to detect change earlier and with more resolution than episodic assessment.
Objective cognitive measurement embedded in real clinical workflows, supporting clinicians with a longitudinal view.
Platform architecture
Collect cognitive, behavioral, neuromotor, and physiological signals across devices and settings.
Extract robust, interpretable features from raw multimodal data with quality controls.
Fuse features over time into a patient-specific Digital Neuro Fingerprint trajectory.
Present trajectories and measurement to trials and clinicians through secure interfaces.
The learning flywheel
Real-world clinical measurement and rigorous trial data form a virtuous cycle — each improving the sensitivity and relevance of the other.
Embedded measurement captures longitudinal cognition across diverse, everyday care settings.
Controlled studies sharpen which signals matter and how sensitively they track change.
Findings flow back into real-world tools, raising the quality of everyday measurement.
Richer real-world data informs the design and power of the next generation of studies.
General Cognitive Model Family
NeuroAI Base Model
General Cognitive's first multimodal base model for longitudinal cognitive intelligence.
Explore GC-1.0General Cognitive
NeuroAI Base Model
Collaborate with General Cognitive
We work with study teams, clinicians, and research partners to deploy multimodal cognitive measurement. Tell us about your study or clinical setting.