MedTWIN.AI
Research program

DREAM Female Body

A physiology-first program focused on hormones, metabolic systems, and immune mapping. Generating root-cause hypotheses for PCOD/PCOS, migraines, fertility, and related questions.

Overview

Research-first, model-driven female physiology

We’re building domain-specific mathematical models (DREAM) and using Research AI (DRE) to structure research into auditable outputs: protocols, artifacts, and draft manuscripts grounded in reproducible computation.

Question-driven workflow
Calibration + versioned updates
Deterministic computations
Audit trail + reproducibility

Research use only. This is not medical advice and not a medical device. Any generated materials must be reviewed by qualified experts.

DREAM Female Body

Questions → models → experiments → publication

A repeatable loop that keeps assumptions explicit and outputs reproducible.

01

Question register

Capture clinical questions (e.g., PCOD/PCOS, migraines, fertility) as explicit, reviewable research prompts.

02

Model spec

Define the mathematical model and assumptions. A calibration loop can propose corrections when predictions diverge from observations (reviewed + versioned).

03

Experiments

Propose experiments and drug / intervention studies with measurable outputs and constraints.

04

Publishable outputs

Research AI generates artifacts and draft manuscripts grounded in computed results, not hallucinated stats.

What we model

Domain packs that prioritize traceability, testability, and research gap discovery.

Hormone dynamics

Model feedback loops and endocrine signals with explicit assumptions and versioned updates.

  • Cycle-aware modeling
  • Parameter transparency
  • Versioned updates

Metabolic systems

Link metabolic pathways and measurable biomarkers to hypotheses that can be tested and reproduced.

  • Insulin/glucose-oriented hypotheses
  • Cohort stratification
  • Deterministic analysis

Immune system mapper

Map immune interactions as first-class variables to explore imbalance pathways and research gaps.

  • Structured variable mapping
  • Cross-system interaction graphs
  • Audit trail for changes

Example research questions

These are illustrative prompts. The program adapts to real datasets and study types.

Which measurable variables best separate PCOD/PCOS phenotypes in a given cohort?
How do hormone dynamics correlate with migraine frequency across cycle phases?
Which intervention hypotheses (dietary, lifestyle, pharmacologic) are most testable with available data?
Where are the biggest research gaps in endocrine–metabolic–immune interactions for a target population?

Build and publish female-specific research

If you have a dataset or a research question, we can help structure the workflow into auditable, publishable outputs.