KTD-innov

THE EXPECTED RESULTS OF THE KTD-INNOV PROJECT

Today, the immunological mechanisms around a kidney transplant are poorly understood. It is therefore difficult to predict the success or failure of a kidney transplant. How to improve the diagnosis of transplant rejection? 

To answer these questions, the KTD-innov project integrates on a large scale the systematic evaluation of patients' clinical, biological, immunological and molecular data. The study will establish a baseline database.

The analysis of these data will lay the foundations:

• a rejection prediction system providing a probability of individual risks of allograft rejection
• a precision diagnostic system addressing the activity and stage of graft rejection.

THE METHODOLOGY OF THE STUDY

The KTD-innov study is based on the collection of data from 750 new patients recruited over one year in 7 French hospitals. This data will be consolidated with 5,000 pre-existing references shared by the partners at the beginning of the project. The data are based on urine analyses, blood samples and allograft biopsies. 

The "Big data" infrastructure capable of integrating these data is developed by the INSERM research group. Artificial intelligence data analysis will provide algorithms for predicting the risk of rejection, treatment response and graft survival.​

​WHERE DO WE STAND?

​In progress - Patient cohort construction
In progress - Sample processing and analysis on dedicated platforms
In progress - Construction of the "Big data" software infrastructure
In progress - Consolidation of pre-existing software infrastructure data

KTD-Innov's PUBLICATIONS