Sharing genomic data is at the heart of precision medicine—but it comes with unique privacy, security, and regulatory challenges. How can healthcare systems enable access to highly sensitive, immutable data while maintaining trust and compliance?
A newly published article in Blockchain in
Healthcare Today: Platform Approaches Journal (BHTY) presents a decentralized blockchain-based framework for genomic data sharing that integrates zero knowledge proofs (ZKPs), smart contracts, and hybrid storage solutions to ensure privacy, security, and controlled access.
What this study examines
- A blockchain
architecture combining on-chain metadata with off-chain encrypted genomic data
- Privacy-preserving verification using zero-knowledge proofs with Schnorr protocol and elliptic curve cryptography
- Smart contracts for rule-based, auditable access control
- A
proof-of-concept prototype demonstrating scalable, secure, and efficient data sharing for healthcare and precision medicine workflows
Rather than emphasizing raw performance numbers, the paper demonstrates how privacy, security, and access control can coexist in a decentralized system, creating a reproducible blueprint for responsible genomic data management.
Why this work is citable
- Advances privacy preserving solutions for highly sensitive genomic data in healthcare
- Combines blockchain, smart contracts, and cryptography into a practical, deployable framework
- Relevant for
researchers, clinicians, and digital health platform developers in precision medicine, clinical genomics, and data governance
- Provides a reproducible proof-of-concept for secure, auditable, and decentralized genomic data sharing
- Serves as a methodological reference for future work on privacy first health data
platforms
Curious how blockchain and zero-knowledge proofs can protect genomic data while enabling research and clinical applications? The full article explores architecture design, implementation, and practical considerations.
Read the article (DOI):
https://doi.org/10.30953/bhty.v8.419
Authors:
Nandini Krishappa, M.Tech, PhD; Girisha Gowdra Shivappa, PhD; Sharon Zachariah, B.Tech; Thanushree, B.Tech; Kavyashree I. Pattan,
M.Tech; Arpita Paria, M.Tech; Savitha Hiremath, PhD; Revathi Vaithiyanathan, PhD
This peer reviewed, citable research advances the evidence base for secure, privacy first genomic data sharing, bridging blockchain, cryptography, and precision medicine workflows.
