Ecole Polytechnique Federale De Lausanne

Amalio Telenti

Jean-Pierre Hubaux

Erman Ayday

Jean Louis Raisaro

Jacques Rougemont

Mathias Humbert

Jacques Fellay

Paul McLaren

Paul J McLaren

In this invention, we propose privacy-enhancing technologies for medical tests and personalized medicine methods, which utilize patients' genomic data. Assuming the whole genome sequencing is done by a certified institution, we propose to store patients' genomic data encrypted by a patient's public keys at a Storage and Processing Unit (SPU). A part of the corresponding private key is also stored on the SPU. At the time of the test by a Medical Unit (MU), the patient provides the second part of the private key to the MU. A test with its associated markers is determined by the MU and sent to the SPU. The test is carried out on the encrypted values thanks to homomorphic operation and returned back to the MU. The latter uses the second part of the private key to access the result.

Privacy-enhancing technologies for medical tests using genomic data

A privacy-preserving method for performing a disease susceptibility test on a patient, said method comprising: The invention is also related to a method for inferring ancestry in the encrypted domain.

Method for privacy-preserving medical risk test

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La Jolla, CA, United States of America

Amalio Telenti