Project Title: STING: Development of a Drug Repositioning Decision Support System for Childhood Acute Leukemia by Digital Twin-Oriented Deep Learning
Funding Agency: The Scientific and Technological Research Council of Türkiye (TUBITAK)
Call: 1001 – The Scientific and Technological Research Projects Funding Program
Time Period: 30 Months
Project PI: Prof. Dr. Utku KÖSE
Project Institution: Süleyman Demirel University, Turkey
This project aims to develop a decision support system (STING), which is able to perform drug repositioning assessments for Childhood Acute Leukemia, by using Digital Twin-oriented mechanisms and Deep Learning techniques. The developed decision support system will create a large number of synthetic patients with Childhood Acute Leukemia, in order to evaluate the effectiveness of repositioned drugs and provide feedback to the user about the status of the patients after their drug use. The novelty of the project is associated with providing an Artificial Intelligence-supported drug repositioning solution for Childhood Acute Leukemia as well as ensuring a Deep Learning-based drug repositioning for Childhood Acute Leukemia, developing a computational patient model based on Ordinary Differential Equations, and forming a Digital Twin-oriented mechanism where drug interactions with synthetic patients are evaluated. The methodological flow of the project is generally organized under 6 Work Packages (WPs), within the scope of interdisciplinary works through a 30-month period. In the project team, there are 1 Manager, 5 Researchers, 2 Master’s Scholars, 2 Doctorate Scholars and 3 Advisors, who form the university-university cooperation. Project widespread effect occurs in various publications, open access software codes, data sets, triggering utility models and start-up opportunities, raising postgraduate students, various activities to share the (project) process, contributions to 11th Turkish Development Plan goals and policies under the titles of Child, Population and Aging, Critical Technologies, Science Technology and Innovation, Health, and effects within National Drug Safety.