Research & Publications
Advancing medical AI through open science and clinical validation
Research Areas
8-Axis Wellness Modeling
Longitudinal health trajectory analysis across all 8 axes (PO, NM, ER, SC, RS, ES, TA, PV). Studying how multi-axis interactions predict long-term health outcomes and inform personalized interventions.
Cross-Specialty Intelligence
Linked record analysis across 8 medical specialties. Understanding how findings in one specialty inform care decisions in another, and how cross-specialty data improves diagnostic accuracy.
Temporal Decay Patterns
How health behaviors change over time and predict outcomes. Modeling the 28 temporal decay rules that govern exercise adherence, nutritional compliance, medication persistence, and behavioral health engagement.
One Health Analytics
Human-animal health correlations and zoonotic disease detection. Leveraging parallel veterinary and human clinical data to identify emerging health threats and comparative treatment efficacy.
Drug-Outcome Modeling
Real-world evidence from structured clinical data. Analyzing medication efficacy, adverse events, and adherence patterns segmented by 8-axis wellness profiles for precision pharmacology.
Behavioral Health Integration
Dream journals, meditation patterns, and spiritual wellness correlations with physical health outcomes. Exploring how the ER, SC, and PV axes interact with traditional clinical metrics.
Citation Guidelines
When referencing ConceptualHealth.AI in academic publications, please use the following citation format:
ConceptualHealth.AI v1.0 (2026). Conceptual Healthcare Corporation, Destin, FL. U.S. Patent Pending 63/921,717.
For BibTeX, APA, and other citation formats, contact the research team at research@conceptualhealth.ai.
Research Partnerships
Research institutions can apply for partnership access to the ConceptualHealth.AI platform. Approved partners receive:
Discounted API Access
Reduced HCC rates for qualified academic and research institutions.
De-Identified Dataset Access
Structured, de-identified clinical datasets available through DataVault for IRB-approved studies.
Co-Publication Opportunities
Joint research papers with the Conceptual Health clinical and data science teams.
Advisory Committee Participation
Invitation to join the Clinical Advisory Committee and shape model governance.
Dataset Access via DataVault
De-identified research datasets are available through datavault.conceptualhealth.com. All datasets comply with HIPAA Safe Harbor de-identification standards and require IRB approval documentation for access. Available datasets span clinical encounters, wearable data, nutrition logs, and 8-axis longitudinal trajectories.
Interested in a research partnership?
Submit your application and our research team will review your proposal within 10 business days.
Apply for Research Partnership