Explainable AI for Complex CNS Disorders
Integrate multimodal data for precise diagnostics and support personalized care.
Explainable by Design
XAI at feature and patient level (SHAP, counterfactuals, saliency maps).
Multimodal Fusion
Integrates clinical, cognitive, imaging, and multi-omic data.
Subtype Discovery
Anatomo‑cognitive subtypes support personalized prognosis.
Privacy‑Preserving
On‑premise & edge‑ready options; full GDPR/HIPAA compliance.
A Tridimensional Approach
Our framework analyzes patients across three fundamental axes to build a complete picture.
1. Etiology (The Why)
Genetic predispositions and environmental root causes.
2. Molecular Pathology (The Plot)
The underlying biological processes, profiled via multi-omics and biomarkers.
3. Phenotype (The How & Where)
The observable clinical symptoms and their neuroanatomical correlation.