FEATURED Insights
Sequencing Has Scaled. Interpretation Has Not.
Sequencing has become faster and more accessible, but interpretation remains the real bottleneck in clinical genomics. This article explores why the next wave of precision medicine will depend on scalable interpretation infrastructure, not sequencing alone.
Responsible AI in Genomics: Why Expert Review Still Matters
AI can accelerate genomic interpretation, but clinical responsibility cannot be automated away. This article discusses how expert-in-the-loop workflows can make AI more useful, safe and trustworthy in genomic medicine.
What Makes A Genomic Report Useful Oncologists?
A genomic report should not be a data dump. It should prioritize what matters, connect findings to evidence and help oncologists review treatment relevance efficiently.
Rare Disease Interpretation: Why Phenotype Context Matters
Rare disease genomics requires more than variant annotation. Phenotype alignment, inheritance patterns, gene-disease validity and careful evidence review all matter.
How do we make genomics scalable, affordable, sustainable, and clinically relevant for India?
India’s opportunity in genomics is significant — but the ecosystem is still evolving.
Genomics Is the Foundation. Multi-Omics Is the Future
Two patients with the same variant may have very different outcomes because of regulatory changes, protein activity, metabolic state, environmental exposure, or disease stage. Multi-omics makes these differences visible.