System for predicting transplant survival

The AI-based system integrates transplant registries and databases to predict graft survival and optimize donor-recipient pairing, addressing limitations of existing systems by enhancing prediction accuracy and optimizing transplant outcomes.

WO2026084572A1 Publication Date: 2026-04-23LLP QAZAQ INSTITUTE OF INNOVATIVE MEDICINE +1
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Patent Information

Application Number
PCT/KZ2024/000038
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-10-14
Publication Date
2026-04-23

AI Technical Summary

Technical Problem

Existing systems fail to provide personalized prediction of graft survival in solid organ transplantation using artificial intelligence, and existing AI systems are limited in functionality, complexity, and lack integration with predictive models.

Method used

A system integrating AI-based prediction platforms with transplant registries and databases, utilizing large datasets, data dimensionality reduction, and non-overlapping patient segmentation, to predict graft survival and optimize donor-recipient pairing, incorporating clinical, instrumental, and genetic data for personalized prognosis.

Benefits of technology

Enhances graft survival prediction accuracy, optimizes immunosuppressant dosage, and improves transplant outcomes by providing a comprehensive data-driven decision support system for healthcare professionals.

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Abstract

The invention relates to medicine, and more particularly to organ transplantation, and is intended to improve personalized prediction of transplant survival in the case of solid organ transplantation, using artificial intelligence. A system for the personalized prediction of transplant survival in the case of solid organ transplantation, which utilizes artificial intelligence, comprises the following, functionally interconnected via the Internet: medical institutions, recipient and transplant databases, a data-server base, and an administrative computer-programmable device with a data display monitor. The system further comprises an artificial intelligence-based predictive computer platform for solid-organ recipients which is designed to be capable of determining the best donor-recipient pairing and transplant survival on the basis of different clinical, instrumental, laboratory, histological and genetic features, and is integrated with the data-server base. The invention makes it possible to increase the functional capabilities of personalized prediction of transplant survival in the case of solid organ transplantation.
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