What Challenges Exist in Applying AOP Techniques to Cancer?
Despite its potential, there are several challenges in applying AOP techniques to cancer research:
Complexity: Cancer is a highly complex and multifactorial disease, making it difficult to map out linear pathways. Data Gaps: Incomplete data can hinder the accurate mapping of key events and their relationships. Validation: The need for extensive validation of identified pathways to ensure they are representative of real-world scenarios. Inter-individual Variability: Differences in genetic and environmental factors among individuals can affect the applicability of AOP models.
