The GHGA Lecture Series "Advances in Data-Driven Biomedicine" is a monthly virtual event series of scientific talks, presenting the fascinating world of data-driven medicine and their ethical, legal and social implications. We aim also to provide a platform for interactive discussion, so we encourage all participants to actively participate in the Q&A section after the lectures.
Invited guest lecturers are outstanding international researchers from different disciplines across omics data sciences. Selected on excellent academic merit and significant contributions to their respective fields, they actively shape international research agendas.
We invite you to join us monthly on Wednesdays from 16:00 to 17:00 (CET) via Zoom. All lectures are held in English, each lecture is free and open to everyone. Past lectures can be found in our GHGA YouTube Channel.
You can register for the whole lecture series here and never miss #GHGAtalks again!
We are very happy to receive feedback or ideas for further GHGA Lectures. Feel free to contact us using the contact form.
Gerrit Meijer from the Netherlands Cancer Institute will talk at the GHGA lecture series. Register now!
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Kyle Farh from Illumina will talk about "How do you train genomics AI?" at the GHGA lecture series. Register now!
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Salvador Capella-Gutierrez from the Barcelona Supercomputing Center (BSC) talked about „ELIXIR web services and workflows". Watch it now!
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Janet Kelso from the Max Planck Institute for Evolutionary Anthropology talked at the GHGA lecture series about "The impact of gene flow between archaic and modern humans".
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Peter Krawitz from the University Bonn talked about „GestaltMatcher and its data portal - Overcoming the limits of rare disease matching using facial phenotypic descriptors“. Watch it now!
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Hans-Ulrich Prokosch from the University Hospital Erlangen talked about „The German Research Data Portal for Health (FDPG) and its accompanying central services“. Watch it now!
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Martin Hirst from the University of British Columbia (UBC) talked about "THe EpiATLAS – a reference for human epigenomic research". Watch it now!
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Peter Robinson from The Jackson Laboratory (JAX), presented "The Phenopacket schema: an open standard for sharing disease and phenotype information". Watch it now!
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