The research questions that also support the aim and targets of the project are as follows:
- Research Question-1: How can drug repositioning for Childhood Acute Leukemia be achieved using Deep Learning techniques?
- Research Question-2: How can patient dynamics reflecting the effects of repositioned drugs on a patient, specifically for Childhood Acute Leukemia, be created using Ordinary Differential Equations, including a wide range of influencing factors such as age, genetic predisposition, and nutrition?
- Research Question-3: How can a Digital Twin-oriented mechanism that creates synthetic patients using Deep Learning and Generative Artificial Intelligence be implemented to evaluate the effects of repositioned drugs for Childhood Acute Leukemia?
- Research Question-4: How can the drug repositioning mechanism for Childhood Acute Leukemia, demonstrated using Digital Twin-oriented Deep Learning, be presented in a usable decision support system?