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  • ELIXIR Bioinformatics Industry Forum: Enabling Ecosystems for Machine Learning in the Life Sciences

    11 October 2022

    London, United Kingdom

    ELIXIR Bioinformatics Industry Forum: Enabling Ecosystems for Machine Learning in the Life Sciences The ELIXIR Bioinformatics Industry Forum (EBIF) is a one-day event and aims to bring together the community of bioinformaticians to discuss visionary ideas, bottlenecks and solutions to some of the major challenges in the data-driven life science sector. This year’s EBIF focus is on making Machine Learning robust and reproducible for the Life Sciences. The programme includes a mixture of presentations from industry and academia that will lead to panel discussions on the following themes: Interoperable data and workflows to enable reproducible Machine Learning in the life sciences and the role of Open Science in the value chain; Challenges and solutions in Machine Learning for the life sciences - Federated Learning and Synthetic Data; Innovation, collaboration and security in the Machine Learning Ecosystem. Format: Hybrid event We encourage physical attendance for participating in roundtable discussions and networking activities, and for engaging with the speakers. Virtual particiapnts will only access live stream and ask questions via SliDo. Target audience:  Bioinformaticians and technical specialists with an interest in the industry perspective of the topic. Aims: Give companies the chance to present technological advances in the field of Machine Learning in life sciences; Provide a forum for knowledge exchange and collaboration in the pre-competitive space; Create networking opportunities with bioinformatics opinion leaders, academic experts in ELIXIR and other industry members. Programme: Two Sessions of presentations from academia and industry Flash talk session and round table discussions (only for physical attendees) Panel discussions Keynote speech 2022-10-11 09:00:00 UTC 2022-10-11 18:00:00 UTC Wellcome Collection, London, United Kingdom Wellcome Collection London United Kingdom NW1 2BE [] [] [] [] [] []

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