AI-Integrated Preventive & Restorative Medicine
We are BaCHRI—the Black Catholic Health Research Institute. Rooted in faith and justice, we conduct unapologetic research with AI to expose systemic harm, elevate Black voices, and shape equitable futures.
What We Mean by AI-Integrated Preventive & Restorative Medicine
Artificial intelligence (AI) allows preventive-medicine teams to process multiscale data—clinical histories, wearable signals, even neighborhood air-quality feeds—and detect risk trajectories before symptoms emerge. When decision-support models flag an elevated probability of hypertension or glycemic drift, clinicians can intervene months earlier, improving outcomes and lowering cost.
Restorative medicine complements that foresight. It uses evidence-based modalities that reactivate the body’s self-repair systems
Together, these layers shift care from reactive treatment to proactive renewal, advancing health equity for Black communities and beyond.
Stress Vitals™ Free Live Sessions
Clinical-grade HRV sensors flag hidden financial stress; free 40-min intakes now available in Scottsdale & monthly at St Vincent de Paul..
slimmAI-HRV™
AI-Guided Preventive & Restorative Cardiology.
Our SlimmAI-HRV platform merges high-resolution heart-rate variability analytics with explainable AI to surface hidden cardiometabolic stress before disease begins.
AI Builds, Not Black Boxes
Python-based interpretable models reveal hidden stress patterns before disease ever takes hold
COMMUNITIES TRAINED IN DATA JUSTICE
PARISH PARTNERSHIPS INITIATED
POLICY SHIFTS INFORMED BY OUR RESEARCH
LIVES UPLIFTED BY COOPERATIVE HEALTH MODELS
Research & News
📌 BaCHRI just gave cardiovascular AI an equity upgrade
✈️ Coming in 2026: God’s Little World – A Cooperative Simulation Campus
After 20 years of visionary planning, God’s Little World is preparing to launch its permanent campus in Fort Worth, TX. This immersive simulation, designed to explore financial empowerment and health equity, is expanding from its award-winning tour model into a full-scale, physical site.
🎯 Opening in 2026
📍 Fort Worth, TX
📌 Weekly Outreach Launches at St. Vincent de Paul
Update:
In partnership with the Society of St. Vincent de Paul, BaCHRI is launching a new community-led cooperative initiative in Phoenix, AZ. Once a week, we’ll meet with residents experiencing homelessness or housing insecurity to co-develop a cooperative business based on their needs, vision, and skills. This is our commitment to transforming inequity through dignity, ownership, and structural change.
📍 Pilot starts Summer 2025 — Supported by the Spirit, and maybe the AIM-AHEAD program.
“For I know the plans I have for you,” declares the Lord, “plans to prosper you and not to harm you, plans to give you hope and a future.”
– Jeremiah 29:11
Trusted Partners
The miracle of cooperation is a team strategy that opens a gap in the wall of an indifferent crowd that excludes the weakest.” — Pope Francis
Excited to share that our clinical abstract “A Machine-Learning Framework to Identify Ecological Risk Pathways in Cardiovascular Stress” has been accepted for presentation at Machine Learning for Healthcare (MLHC) 2025 — sponsored by the Mayo Clinic main campus in Rochester MN (Aug 15-16).
What we built
🔸 SlimmAI — Python-based decision-tree model with transparent SHAP explanations
🔸 97 % accuracy identifying cardiovascular-risk patterns in a 100 % Black biomarker cohort
🔸 Maps each risk profile to its ecological tier, so clinicians see where to intervene, not just what to treat.
Why it matters
✔️ Chronic stress + structural racism drive the nation’s highest CVD death gap.
✔️ Conventional risk tools ignore those drivers — leaving Black patients misclassified or unseen.
✔️ SlimmAI closes that blind-spot and gives public-health teams an explainable roadmap for upstream action.
Next steps
• Open-source demo + HRV extension later this year
• Integrating SlimmAI into God’s Little World, our cooperative-economy simulation & research campus breaking ground Dec 2025.
🙏🏾 Grateful to the MLHC reviewers, the Mayo Clinic sponsoring team, and every mentor who believed Black health data could power its own solutions.