A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction

Drug Interaction Checker is a web tool that uses FDA data and AI models (OpenAI, Claude, etc.) to analyze drug interactions, assess risk levels, and provide clinical insights. It supports real-time fuzzy search, Korean/English input, a modern UI, and AI-powered visual results to help users identify potential medication risks easily.

Wikidata bot for automatic adding of drug interactions from literature to Wikipedia articles.

Drug to Drug Interactions R Package

Gtk Julia app for finding drug interactions from the RxNav database.

An end-to-end AI pipeline using PyTorch and Spark to predict severe drug-drug interactions from official FDA FAERS data.

AI-powered drug-drug interaction prediction system using Random Forest (薬物相互作用予測AI)

🧬 Predict drug interactions with the open-source CYP3A4 system, essential for research, education, and enhancing patient safety in medication management.

Store clinical guidelines and determine their interactions.

A comprehensive CDSS platform for patient registration, digital anamnesis, and smart prescription with real-time drug interaction alerts.

A free, modern pharmacy management solution for small and medium-sized businesses. It offers task scheduling, inventory tracking with barcode support, drug interaction checks, and comprehensive drug data—powered by Health Canada and DDInter databases.

AI-powered medicine database and drug interaction checker with Indian medicines and mental health focus

Description: PHARMA CORE: A high-performance Drug-Drug Interaction (DDI) intelligence platform combining Scikit-Learn (83.2% accuracy) and Google Gemini AI for real-time clinical risk assessment and streaming clinical explanations.