The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).

BlockMRS is a privacy concious, decentralized, blockchain-backed, medical record system for the 21st Century. It stores patient records in IPFS using state-of-the art asymetric encryption giving patients control over their health data.

Python CCDA parsing engine

A modern healthcare platform enabling secure patient data management, intelligent appointment scheduling, and medical record tracking. Built with FastAPI microservices architecture, featuring JWT authentication, Redis caching, and RabbitMQ messaging. Designed for clinics/hospitals needing HIPAA-compliant solutions with real-time notification.

Frequent Pattern mining in tree-like sequences for medical data.

Official repo for "Characterizing Stigmatizing Language in Medical Records" (ACL 2023)

RAG-Powered Healthcare Assistant is an AI-driven tool using Retrieval-Augmented Generation (RAG) with multilingual support (Darija, Arabic, English) to provide personalized health info. It features Prescription OCR, multilingual queries, and a Pharmacy Locator to offer tailored, accurate healthcare responses and services.

Prototype for a Medical Record system

🏥 A RESTful API built with FastAPI for managing patient records with automatic BMI calculation and health assessment ⚕️

AI-powered clinical support system that helps healthcare professionals efficiently access and analyze patient medical records through a RAG pipeline and LLM integration.

A comprehensive healthcare system designed to manage patient data, appointments, and staff interactions. It includes features like appointment scheduling, patient record management, and reporting tools to improve healthcare facility operations.