Combining data from large groups of patients can lead to new insights and better treatment methods for patients. As a result, TNO and the Netherlands Comprehensive Cancer Organisation (IKNL) are working together to gain insights from data with the aim of reducing the impact of cancer. Likewise, the individual treatment of HIV patients can be improved by learning from the successes and failures of doctors and pharmaceutical companies. But how do we secure sensitive patient data in such a way that patients remain anonymous, privacy is guaranteed and the information avoids falling into the wrong hands? This is possible thanks to Multi-Party Computation (MPC).
Combining different datasets leads to new insights, but also raises privacy issues. Multi-Party Computation, or MPC for short, is a ‘toolbox’ of cryptographic techniques that allow several parties to jointly analyse their data, just as if they have a shared database. Data are protected by cryptographic techniques, allowing them to be shared and analysed without parties ever actually being able to access other parties’ data and without having to make use of a third party to carry out the analyses. With MPC, absolutely no data is disclosed, only combined conclusions and insights are revealed. This can be done in such a way that everyone can verify that the results are correct.
TNO has the unique expertise needed to help your organisation with these techniques and to advise you on customised solutions.
Please contact Daniël Worm