K-AI Drug Development Preclinical and Clinical Model Development.
This national R&D project develops an AI-based translational and reverse-translational research model that connects preclinical research with clinical development. It also builds AI software that can complement or replace animal testing and provides technologies that support clinical trial design. Focusing on cancer and metabolic diseases, the project aims to create an AI platform that improves the efficiency of clinical development and opens a new data-driven paradigm for drug development.
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Business Goal
Build an AI-based clinical trial design and support platform for drug development and improve the efficiency and success rate of clinical trials through AI technologies that connect non-clinical and clinical research.
Translational research AI model Reverse-translational research design AI model Animal alternative AI model
Patient group selection, including experimental and control groups, drug dose and administration route optimization, and simulation
Participating Organizations
Development of the federated learning platform and multimodal foundation model
data standardization and clinical trial design/support functions
clinical trial validation support.
Production and collection of clinical data for validation and practical application
production and collection of non-clinical data for validation and practical application
development of translational research AI software.
Production and collection of clinical data for validation and practical application
production and collection of non-clinical data for validation and practical application
development of reverse-translational research AI software.
Production and collection of organoid and non-clinical data for validation and practical application
production and collection of clinical data for validation and practical application
development of animal alternative AI models.
A preclinical and clinical drug development ecosystem connected by AI.