Amalda ko'ring
What You'll See
Meet the AI: Deutsch & Popper
Our agents are named after two philosophers whose epistemology shapes our approach. Deutsch (TA1) honors David Deutsch and the "hard-to-vary" principle. Popper (TA2) is named for Karl Popper, father of falsificationism.
Together: AI that doesn't just predict. It generates explanations that can be tested and refuted.
Population Dashboard: Massive Scale
Deutsch and Popper manage cardiovascular care for over 4,000 patients with a team of just 3 clinicians.
Tonight, they'll help Maria, who lives 90 miles from the nearest cardiologist.
Maria's 2 AM Emergency
Maria wakes with shortness of breath and swollen ankles. She opens the Regain app. Her wearable data syncs automatically, showing a 5-pound weight gain and elevated heart rate. She describes her symptoms.
Her health record loads via FHIR: labs, medications, problem list, vitals, all aggregated and ready for analysis.
Hard-to-Vary Differential Diagnosis
Deutsch generates hypotheses, then adversarially attacks each one. The Verifier critiques using Hard-to-Vary scoring, measuring how tightly each explanation fits the evidence.
- • When uncertain, Deutsch explicitly marks hypotheses as "insufficient data" rather than rejecting them
- • Weak hypotheses are eliminated; strong survivors become tentative diagnoses
- • The Universal Domain Composer activates CVD, Nutrition, Exercise, and Mental Health subsystems simultaneously
When uncertain, the system says "I don't know." Full transparency about what it knows, and what it doesn't.
Popper's Safety Validation
Popper validates every recommendation: protocol reference present, dosing within parameters, no contraindications detected.
- • Approve: medication within protocol, decision: approved
- • Hard-stop: dose exceeds maximum parameters
- • Request info: data is stale, need more information
- • Route to clinician: new medication class proposed, requires human approval
The system knows when to act autonomously, and when human judgment is required.
Full Transparency & FDA Ready
Every decision is fully traceable. Evidence references, HTV score breakdowns, key unknowns disclosed. Human clinicians see exactly why Deutsch decided on a diagnosis or made a recommendation.
For FDA review, complete performance reports are exported, automatically de-identified and formatted for regulatory submission.
We're not proposing to build this. We're showing a working prototype.
The Patient's Perspective
The demos above show the clinician and system views. These supplementary videos show what patients actually see and interact with day-to-day: the Regain Health mobile app.
AI Diagnostics: From Symptoms to Action Plan
A structured diagnostic tool in mobile app format. The system collects medical history, proposes and verifies hypotheses through multi-agent debate, and creates a ready dossier for the doctor.
Daily Execution: From Plan to Action
Not just a list of tips. It's an actionable plan for the day. It tells you exactly what to do right now, in an hour, and later tonight. One tap turns your plan into action.
How these connect: The main demo above shows the clinician-facing system (Deutsch + Popper). These patient demos show the other side: what patients interact with daily. In the ADVOCATE program, clinicians oversee the AI; patients engage through the app.