Healthcare is changing from “What disease do you have?” to “What health risk can we prevent before it becomes serious?” As India builds the next phase of precision healthcare, the bigger question is whether DNA, biomarkers, microbiome data, and AI can make healthcare more personal, predictive, and affordable.

In this episode of the ExitFund Podcast, Rahul Ranganathan from NuGenomics explains how genomics, blood biomarkers, microbiome data, lifestyle patterns, and medical history can help build a more personalized view of health. He shares how NuGenomics is trying to move genomics out of labs and make it a practical decision-making tool for everyday healthcare.

Rahul also explains why genetic data must remain private, why precision healthcare should be affordable, and how India can build better health outcomes when science turns into something people can actually use.

In this episode, we cover:

• How genomics can help predict future health risks

• Why healthcare needs to move from generic treatment to personal prevention

• How NuGenomics uses DNA, biomarkers, microbiome, lifestyle, and medical history

• Why precision healthcare should be affordable for everyone

• How NuGenomics reaches 11,000 pin codes across India through partner labs

• Why genetic data should not be shared with insurance companies

• How NuGenomics protects personal health data through internal and external IDs

• Why India needs stronger representation in global healthcare data

• How AI and machine learning can improve early health prediction

• Why science alone is not enough unless it becomes useful for people

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