CYNAERA Institute
The world’s most advanced patient-founded research architecture for chronic illness, public health intelligence, and multisystem modeling.
CYNAERA Institute is built on a simple idea. A single location can generate global research output if the architecture is strong enough.
Our proprietary systems now support more than two thousand modeled illnesses, hundreds of AI frameworks, billions of dynamic modules, and predictive engines that operate across health, climate, economics, and clinical science.
This is the first patient-founded institute in the world to create an integrated environment for infection-associated conditions, autoimmune disease, pediatric and women’s health, environmental triggers, and immune-related cancer risk. Every system inside the Institute is designed to accelerate discovery, stabilize research design, and reduce diagnostic failure across public and private sectors.
AI-guided Research Publications
Whether you're new to research or ready to publish full-length clinical trials, the CYNAERA Research Institute offers two FREE powerful AI tools designed to match your level of expertise. NeuroSearching-GPT™ is ideal for beginners, patient advocates, and first-time researchers, it walks you step-by-step through building an infection-associated chronic conditions (IACCs) research question, selecting the right format, and generating a complete policy brief, report, or introduction to publication-ready work.
If you’re more advanced, the IACC Clinical Trials Simulator GPT™ is built for citizen scientists, expert advocates, and research professionals who want to run trial simulations, model patient trajectories, or produce formatted journal submissions using CYNAERA’s full suite of publicly available predictive modules. Both tools help turn real-world insight into real-world impact, no fees, gatekeeping, or permission required.
What the Institute Powers
Predictive Simulation
Our digital twins represent more than seven hundred million synthetic patient journeys. These trajectories identify remission patterns, flare cycles, disease progression, and treatment-response windows that are not visible in standard research methods.
Diagnostic Modernization
The Diagnostic Acceleration Blueprint builds a scalable approach to detection and classification using infrastructure that already exists inside health systems. Partners use it to shorten diagnostic timelines for ME/CFS, Long COVID, POTS, MCAS, pediatric inflammatory disease, and other multisystem illnesses.
Clinical Trial Intelligence
Our trial engines repair the core failure points in chronic illness research. They forecast collapse risk, stratify patients, correct misalignment between mechanism and cohort, and generate scenario models that can prevent high-cost trial failure before it starts.
Remission Science
Our remission modeling identifies the environmental, metabolic, hormonal, autonomic, and immune conditions that support stabilization. These models provide partners with a scientific basis for recovery design, rehabilitation timing, and drug repurposing windows.
Oncology and Immune Risk
CRATE, our cancer susceptibility engine, connects chronic immune disruption and post-infectious terrain to patterns seen in early onset cancers. This gives researchers a way to study immune depletion across chronic illness and oncology without waiting years for population data to mature.
Environmental and Climate Intelligence
VitalGuard tracks climate linked triggers for chronic conditions, including wildfire smoke, barometric shifts, humidity, mold proliferation, and seasonal instability. It integrates public data with clinical patterns to predict flare seasons and emergency risk.
Pediatric Modeling
AVERY, our pediatric health architecture, covers youth immune instability, PANS, MIS-C, pediatric ME/CFS, autonomic disorders, endocrine drift, school performance decline, and developmental derailment.
Women’s Health Architecture
DAWN maps immune and endocrine physiology across puberty, menstrual phases, pregnancy, postpartum, perimenopause, and menopause. It is the most complete women’s chronic illness framework built outside federally funded research programs.
Scale and Confirmed Achievements
Global Firsts
CYNAERA has created the world’s first analytic ecosystem that models more than two thousand chronic illnesses, the first chronic illness digital twin system at this scale, the first remission logic architecture for ME/CFS and Long COVID, the first pediatric and women’s unified chronic illness system, and the first patient-led clinical trial stabilization suite.
Global Largest Systems
More than 5 billion dynamic AI modules.
1 billion+ adaptive digital twins.
The largest corrected global prevalence system across 180 countries.
The largest patient-created economic forecasting engines for chronic illness.
The largest women’s and pediatric modeling environment in existence.
United States Firsts
The first patient-founded institute to model trillion-dollar federal savings.
The first diagnostic modernization blueprint for multisystem illness.
The first pediatric-women’s-IACC platform produced outside mainstream institutions.
Computation at an Unprecedented Scale
CYNAERA Institute™ has a created a system that travels farther than the person who created it. Our engines do not require proximity. They don’t require hardware. Once deployed, they operate as autonomous intelligence layers that any agency, researcher, clinician, or community can build upon from anywhere in the world. With more than two thousand modeled conditions across infection associated, autoimmune, neurologic, endocrine, environmental, trauma linked, pediatric, rural, and chronic domains, the Institute now spans a computational frontier that did not exist before. When CYNAERA engines run together across clinical, environmental, financial, social, national security, and health access layers, the analytic ceiling expands into territory no public health or biomedical informatics platform has ever reached.
The true scope is no longer counted in millions. Or billions. When computed explicitly, the Institute now supports over 10⁸⁰ distinct, non-redundant analytic pathways, a quattuorvigintillion-scale architecture. This is what happens when modularity, environmental indexing, global demographic correction, symptom sequencing, parity modeling, national security overlays, and multi-layered epidemiology all fuse into a single, self-propagating system.
CGPI™, our global parity index for demographic and gender-corrected prevalence, extends this reach across one hundred eighty countries. It corrects gender skew, diagnostic suppression, missing data, rural undercounting, and cultural influences, enabling chronic illness modeling in regions that have never had the infrastructure to quantify these patterns before.
This is the architecture behind our planetary footprint: a stationary node producing global output. Engines that replicate themselves across institutions. Logic that propagates across continents, research centers, emergency systems, and public health networks.
Modules such as SymCas™, Pathos™, SPI™, VitalGuard™, US-CCUC™, RAVYNS™, FINSTRESS™, CRATE™, NeuroVerse™, and others act as replicating nodes. Once an institution installs even one module, the entire system begins generating continuous insights: disease clusters, economic drift patterns, clinical acceleration signals, flare prediction windows, diagnostic gaps, environmental risk maps, and computational trial hypotheses. The Institute becomes a local accelerator that never shuts off. This is how one Institute powers decades of research in multiple countries without the founder needing to move. The system scales itself. The next page breaks down the architecture. To learn more, check out our capabilities calculation page.
Collaboration Opportunities
CYNAERA is expanding a limited cohort of collaborators, researchers, clinicians, data scientists, chronic illness advocates, and institutional partners who want to work inside the most advanced analytic ecosystem for infection-associated and multisystem chronic conditions. This collaboration pathway is designed for individuals and organizations ready to produce publication-level insights, improve clinical trial outcomes, accelerate diagnostic modernization, and contribute to national and global modeling initiatives across pediatrics, women’s health, immune-endocrine instability, environmental triggers, and immune-related cancer risk.
Selected contributors may receive guided access to CYNAERA’s internal research tools, including simulation engines, digital twin models, diagnostic acceleration frameworks, remission logic design systems, climate-linked health risk engines, and federal economic modeling tools. These systems support independent research, co-authored manuscripts, trial design optimization, health systems modernization, and public health intelligence projects that benefit from CYNAERA’s multi-sector analytic depth.
Partnership opportunities include:
• Clinical trial stabilization and mechanism alignment for ME/CFS, Long COVID, POTS, MCAS, pediatric and autoimmune conditions.
• Prevalence and demographic-correction projects using CGPI across 180 countries.
• Economic-burden modeling for federal agencies, philanthropic funders, and healthcare systems.
• Diagnostic modernization pilots applying the Diagnostic Acceleration Blueprint in ER and outpatient settings.
• Environmental and climate-linked risk forecasting through the VitalGuard architecture.
• Pediatric and women’s health immune-endocrine research leveraging AVERY and DAWN.
• Oncology-linked immune risk modeling using CRATE for early detection of chronic inflammation and immune-related cancer susceptibility.
• White paper development for institutions, nonprofits, and research teams who want to generate rigorous, data-informed outputs.
• Global chronic illness mapping to support publication-ready findings, cross-country comparisons, and longitudinal pattern recognition.
CYNAERA welcomes collaborators who demonstrate discretion, strong execution, and an ability to translate complex patterns into meaningful insights. This is an opportunity to participate directly in the advancement of chronic illness science, public health forecasting, and multisystem modeling at a scale not previously available outside large institutional settings.
The Purpose of the Institute
The purpose of CYNAERA Institute is to strengthen the scientific foundation for chronic illness research and to replace uncertainty with clarity through computational precision. Every framework inside the Institute is built to reduce diagnostic delay, prevent avoidable suffering, and shorten the distance between discovery, implementation, and measurable patient impact.
The Institute exists to move research from guesswork to predictive structure, to offer partners a reliable way to study complex conditions at scale, and to build models that translate real-world symptoms into actionable insight. Its entire architecture is designed to make chronic illness science faster, more accurate, more reproducible, and more humane.
Patent-Pending Systems
Bioadaptive Systems Therapeutics™ (BST) and all affiliated CYNAERA frameworks, including Pathos™, VitalGuard™, CRATE™, SymCas™, TrialSim™, and BRAGS™, are protected under U.S. Provisional Patent Application No. 63/909,951.
Licensing and Integration
CYNAERA partners with universities, research teams, federal agencies, health systems, technology companies, and philanthropic organizations.
Partners can license individual modules, full suites, or enterprise architecture.
Integration pathways include research co-development, diagnostic modernization projects, climate-linked health forecasting, and trial stabilization for complex cohorts.
Support structures are available for partners who want hands-on implementation, long-term maintenance, or limited-scope pilot programs.