I Built a Private Genomics Study with Stoffel MPC
A developer has created a proof-of-concept genomics study using Stoffel's multi-party computation (MPC) platform to analyze DNA data without centralizing sensitive information. This approach allows researchers to compute aggregate statistics while keeping individual genetic records private and decentralized.
Most genomic studies begin by asking participants to upload one of the most identifying and irrevocable pieces of data they own, their DNA. I continue to investigate whether multi-party computation can offer a different model, one in which a study can produce useful results without anyone collecting the participants’ genomes in the first place.
Get the full story
Sign up for Headlinne to unlock AI insights, political bias analysis, and your personalized news feed.
Create free accountAlready have an account? Sign in