Despite its potential, GDAN faces several challenges:
- Data Heterogeneity: Integrating data from different sources can be difficult due to varying formats and quality. - Computational Demands: Analyzing large datasets requires significant computational power and resources. - Data Privacy: Ensuring the confidentiality of patient data while allowing researchers access to necessary information. - Interdisciplinary Expertise: Requires collaboration between biologists, data scientists, and clinicians, which can be challenging to coordinate.
