Despite the advancements, several challenges remain:
- Data Integration and Interpretation: Integrating and making sense of heterogeneous data from various sources is complex and requires robust computational tools. - Translational Gap: Bridging the gap between laboratory research and clinical application is challenging due to regulatory hurdles, the need for extensive clinical trials, and the complexity of human biology. - Ethical and Privacy Concerns: The use of patient data in research raises issues of privacy and consent, requiring stringent ethical guidelines and data protection measures.
