In an article published in the journal Informatics in August 2026, researchers propose an integrated system that transforms mesenchymal stem cells (MSCs) into digital assets. The authors—Chung Seok Han, Jin Woo Yang, and Sun Koo—describe the MSC Digital Assetization Framework (MDAF), where artificial intelligence, blockchain, and digital twins operate collaboratively.
According to the publication, traditional cell therapy approaches encounter challenges related to traceability, personalization, and quality control. The MDAF addresses these issues at an architectural level: each cell batch is assigned a unique digital token, while a digital twin models the cells' behavior within the patient's body.
Blockchain ensures an immutable record of MSC origin and processing, which is particularly crucial for regulatory compliance. AI analyzes cell and patient data to determine the optimal dosage and protocol. The digital twin enables the simulation of therapeutic effects even before cell administration.
The developers emphasize that this integration establishes a transparent supply chain from donor to patient. Every stage—isolation, cultivation, storage, and transportation—is recorded in a distributed ledger. This, in their view, mitigates the risks of counterfeiting and enhances confidence in the therapy.
Within the MDAF, the digital token is not merely a label but an asset that can be tracked in real-time. AI models update the digital twin based on new laboratory data, thereby making predictions more accurate. The authors note that this approach paves the way for truly personalized regenerative medicine.
The publication presents MDAF as an applied engineering framework that unifies three technologies to address specific challenges in cell therapy. Researchers focus on the system's architecture rather than clinical outcomes, underscoring its potential for scalability and standardization.
According to the article, implementing MDAF could transform the logistics and monitoring of cell preparations, making them more reliable and individualized.
