We are happy to announce that the welcome lecture for the hybrid events of our networking series "Data Science for Science" will be held by Prof. Jan Baumbach (Professor for Computational Systems Biology, ZBH - Center for Bioinformatics, Universität Hamburg). We are very much looking forward to his talk entitled “Privacy-Preserving Clinical Omics Data Profiling”.
Artificial intelligence (AI) offers game-changing opportunities to healthcare. However, it also harbors risks to patient privacy, in particular when dealing with sensitive clinical data stored in critical healthcare IT infrastructure. Specifically, data exchange over the internet is perceived insurmountable, posing a roadblock hampering big data-based medical innovations.
We created a novel AI platform, the FeatureCloud AI app store that is based on the idea of federated learning where only model parameters are communicated. To maximize privacy, sensitive datasets remain stored locally and are analyzed behind safe firewalls. We will investigate the power of FeatureCloud apps exemplarily for decentralized genome-wide association studies (GWAS). We then quickly introduce related apps for gene expression data mining and time-to-event analysis, to demonstrate how FeatureCloud may enhance worldwide collaboration, accelerate innovation, and democratize scientific data usage.
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Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter, Leibniz ScienceCampus InterACt, Center for Data and Computing in Natural Sciences