“Integration of AI and Cloud-Based Analytics in NGS Workflows”
- One prominent trend in the global Next Generation Sequencing (NGS) market is the increasing integration of artificial intelligence (AI) and cloud-based platforms for data analysis and interpretation
- These technologies enhance the speed, accuracy, and scalability of genomic data processing, making it easier to derive meaningful clinical and research insights from vast amounts of sequencing data
- For instance, AI-powered algorithms are now being used to detect mutations, predict disease risks, and streamline variant classification, significantly reducing turnaround times in clinical genomics
- Cloud-based platforms also support real-time collaboration among researchers and clinicians, enabling secure storage, sharing, and analysis of large genomic datasets across institutions and geographies
- This trend is reshaping the genomics landscape by improving efficiency, reducing costs, and expanding access to NGS technologies, particularly in decentralized and remote healthcare settings
