Sophia Genetics secures $1 million to enhance privacy and data protection

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28.04.2016

Sophia Genetics, the global leader in Data Driven Medicine, announces partnership  with EPFL Professor and genomics privacy pioneer Jean-Pierre Hubaux on new $1 million encryption project for privacy protection. The project, supported by the Swiss commission for Technology and Innovation, aims to enhance privacy and data protection.

Sophia Genetics, the global leader in Data Driven Medicine (DDM), announced the start of a new $1 million encryption initiative for privacy protection. Partnering with École Polytechnique Fédérale de Lausanne (EPFL) Professor and genomics privacy pioneer Jean-Pierre Hubaux, the company aims to establish new standards to advance the privacy and protection of data flows between patient registries in hospitals and genomics platforms, with a secure and efficient solution. When complete, the project’s outcomes will allow for the secure access and exchange of sensitive information between healthcare stakeholders, building on the existing safety nets of Sophia DDM, Sophia’s secure platform for genomics analytics gathering the world's largest clinical genomics community for molecular diagnosis.

Refering to this new project, Jurgi Camblong, Sophia Genetics’ CEO and founder, explained “This new initiative supported by the Swiss Commission for Technology and Innovation seeks to address the issue of keeping data and medical records secure while still enabling the consistent, systematic, server-based analysis that clinicians need to make diagnostics decisions that will save patients’ lives. Today, Sophia Genetics is the only genomics company with both ISO 13485 (medical device) and ISO 27001 (data security) certifications, and we are already the most advanced in genomics privacy. However, we believe the outcomes of this new $1 million project should help us unlock true Data Driven Medicine. In the long term, it will allow us to help patients quickly by accessing, swiftly and securely, information about similar cases, and which treatments have been effective for which patients. In the end, it is about finding the right tools to establish the necessary level of trust for Data Driven Medicine to truly fulfil its life-changing potential.”

Jean-Pierre Hubaux, professor at the EPFL's School of Computer and Communication Sciences, and genomics privacy pioneer, added “with this new project, our goal is to find an alternative to current data protection techniques which, unfortunately, often make healthcare data unusable for analysis and diagnostics. Sophia is already the most advanced regarding genomics information and it is now a matter of moving forward with metadata, making sure we connect the dots to leverage the various data points, with the end goal that their analysis will help physicians take better clinician decisions. Obtaining such level of privacy would be a game changer for the advent of Data Driven Medicine.” For the past decade, Jean-Pierre Hubaux’s Laboratory for Computer Communications and Applications at the EPFL has focused its research efforts on privacy protection, in particular for personal data such as genomic information.

Jurgi Camblong concluded “New standards and techniques will give increased reassurance that the high-volume data that we have the ability to compute with our algorithms and machine learning systems can be stored, but most importantly exchanged, in a way that protects individual privacy. Every day, we contribute in better diagnosing hundreds of patients suffering from congenital disorders and cancer. With new privacy tools that will allow us to manage metadata, we will increase this number dramatically and offer patients the most accurate diagnosis of their disease, so that they can receive the most effective treatments available.”

(Press release)

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