Research Programs
Cross-system analysis applied across conditions—from genetic syndromes to autoimmune diseases to neurodegeneration. Each program generates testable hypotheses grounded in literature synthesis.
Flagship Program
22q11.2 Deletion Syndrome
The most common microdeletion syndrome (1:4,000 births) serves as our flagship model for cross-system medicine. Same genetic deletion, dramatically different outcomes—the perfect test case for identifying predictive patterns.
- TLR9 convergence model for autoimmunity
- Brain-immune axis for psychosis prediction
- IBD susceptibility hypothesis
- COMT modulation analysis
- Thyroid autoimmunity framework
- Evidence-based screening protocols
The Microbiome: Foundation of Immunity
38 trillion bacteria. 70-80% of immune cells in the gut. The microbiome is the master orchestrator connecting autoimmunity, cardiovascular disease, mental health, cancer, and neurodegeneration.
Hypothesis Research Programs
46 testable predictions across six major disease areas. Each hypothesis is specific, falsifiable, and designed for validation.
Disease Research Programs
Each program applies cross-system analysis to identify patterns that predict disease onset, severity, and treatment response.
Autoimmune Conditions
Cross-system triggers and shared pathways across lupus, rheumatoid arthritis, inflammatory bowel disease, and other autoimmune conditions.
Key Questions:
- What cross-system signatures precede autoimmune onset?
- Can early inflammatory patterns predict disease type?
- Do treatment responders share cross-system profiles?
Neurodegeneration
Immune and inflammatory markers that precede cognitive decline in Alzheimer's, Parkinson's, and other neurodegenerative conditions.
Key Questions:
- Do peripheral immune markers predict brain pathology?
- What is the gut-brain-immune axis contribution?
- Can cross-system signatures identify prevention windows?
Mental Health
The inflammation-depression-anxiety axis. Cross-system perspectives on psychiatric conditions with immune and metabolic components.
Key Questions:
- Do inflammatory subgroups respond differently to treatment?
- Can metabolic markers stratify depression subtypes?
- What predicts treatment-resistant depression?
Cardiovascular Disease
Immune and inflammatory contributions to heart disease. Cross-system patterns linking depression, inflammation, and cardiac outcomes.
Key Questions:
- How do depression and CVD share immune pathways?
- What cross-system signatures predict events?
- Can immune modulation prevent cardiac disease?
Cancer Immunotherapy
Predicting checkpoint inhibitor response through cross-system immune profiling. Why do some patients respond dramatically while others do not?
Key Questions:
- What cross-system signatures predict response?
- Can microbiome-immune patterns guide therapy?
- Do autoimmune side effects correlate with efficacy?
Long COVID
65+ million people suffer from Long COVID with no validated diagnostic. Multi-system analysis may succeed where single-system approaches fail.
Key Questions:
- Can cross-system coordination measures diagnose Long COVID?
- Are there distinct phenotypic subtypes?
- What predicts recovery vs chronicity?
Rare Disease Programs
Rare diseases with known genetic causes offer unique opportunities for cross-system analysis—clear genetic etiology, documented phenotypic variability, and often existing longitudinal cohorts.
Our Approach to Each Condition
Every research program follows the same rigorous methodology:
- Systematic literature synthesis across traditionally siloed domains
- Cross-system pattern identification through computational analysis
- Hypothesis generation with specific, testable predictions
- Pre-registration of hypotheses before validation attempts
- Clinical translation of validated findings into actionable protocols
Program maturity varies. Our 22q11.2DS program has the most complete literature review and hypothesis development. Other programs are in earlier stages, with frameworks under development.
We present correlations, not causations; hypotheses, not proofs. All findings require prospective validation.
Collaborate on Research
Each research program requires specialized expertise and access to patient data. We seek collaborators across all disease domains.