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AITEP: AI-Empowered Toxicological Evaluation Platform for Generic Drugs
27.04.2026

AITEP platform screenshot showing the AI-empowered toxicological evaluation interface with drug molecule visualization and data analytics dashboard.

 

AITEP: Revolutionizing Drug Safety Assessment with Artificial Intelligence

The AI-empowered Toxicological Evaluation Platform (AITEP) is a cutting-edge system that transforms how pharmaceutical companies assess drug safety and conduct cleaning validation. Developed at The Chinese University of Hong Kong, AITEP addresses a critical challenge in drug development: the time-consuming and error-prone process of toxicological data collection and analysis.

How AITEP Works

AITEP integrates multiple AI modules to automate the entire toxicological evaluation workflow. The DP2 Module captures toxicological data from global databases using distributed web scraping technology. When a user inputs an active pharmaceutical ingredient (API) name, the system automatically searches, extracts, and stores relevant toxicological information. Large Language Models (LLM) then analyze the data to generate comprehensive Permitted Daily Exposure (PDE) reports — a critical parameter for cleaning validation in pharmaceutical manufacturing.

Key Benefits

  • Accuracy: AITEP leverages large language models (LLM) to accurately extract toxicological information from vast datasets, significantly reducing manual errors.
  • Efficiency: What traditionally took days or weeks can now be completed in minutes, accelerating drug development timelines.
  • Comprehensiveness: The platform accesses multiple international databases, ensuring no critical safety data is overlooked.
  • Innovation: By integrating LLM and automation, AITEP transforms toxicological evaluation from a manual literature review into an intelligent, data-driven process.

Industry Impact

For pharmaceutical manufacturers, AITEP reduces regulatory compliance risks while lowering R&D costs. The platform supports generic drug developers, contract manufacturers, and regulatory affairs teams in making faster, more informed safety decisions. As the pharmaceutical industry moves toward greater digitalization, AITEP represents a significant step forward in AI-driven drug safety assessment.


Prof. Zhong ZUO, Professor & Director of School of Pharmacy, The Chinese University of Hong Kong