slassh006/digitaltwin

Endotwin is a privacy-preserving Digital Twin platform for endometriosis prediction that combines Federated Learning and Physics-Informed Neural Networks (PINNs) to provide personalized patient insights while keeping data decentralized. The platform features a 3D clinical dashboard that automatically extracts medical data from PDFs and images using NLP/OCR, then visualizes patient metrics alongside biomechanical tissue simulations and longitudinal analytics. It's designed for healthcare providers and medical researchers who need secure, collaborative endometriosis analysis without compromising patient data privacy.