We are a research-driven AI team delivering trustworthy, evidence-based models that turn clinical, EHR, and multi-omics data into measurable impact, delivering earlier risk detection, guided therapy, and personalized nutrition plans.

Transparent algorithms to support clinical decision-making.
GDPR-compliant pipelines, pseudonymization, and access control.
Robust and reproducible studies validated by medical experts.
Modules ready for clinical practice and research.
Predictive models to estimate risks (exacerbations, hospitalizations, disease progression) over 6–24 months. Calibrated outputs, feature- and patient-level explainability, integration with clinical workflows.
Data-driven recommendations for personalized therapies (dose, combinations, interactions) based on evidence and real-world data. The system does not replace clinicians: it provides rationale, alternatives, and confidence levels.
Automatic nutrition-plan generation respecting clinical constraints and preferences: calories, macro/micronutrients, allergies, guidelines. Optimization engine with safety checks and rule traceability.
Hospitals, universities, and companies that share our rigorous approach.
A diverse team with experience in AI, medicine, and data governance.
From research to practice: validated models, security by design.