Despite their potential, these technologies face several challenges. High costs can limit accessibility, particularly in low-resource settings. Data privacy concerns are significant, especially with the increasing use of AI and genomics. Ensuring the accuracy and reliability of AI algorithms remains a critical issue, requiring extensive validation. Additionally, integrating these technologies into existing healthcare systems can be complex, necessitating significant infrastructure and training investments. Addressing these challenges is crucial for the widespread adoption and success of these innovative technologies.
