18–21 May 2026
Europe/Warsaw timezone

Session

IS6: Big Data in Biomedicine: Innovations Across Imaging and Omics

21 May 2026, 10:45
Room 1 A

Room 1 A

Conveners

IS6: Big Data in Biomedicine: Innovations Across Imaging and Omics

  • Malgorzata Bogdan (Lund University)

Presentation materials

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  1. Jaroslaw Harezlak (Indiana University)
    21/05/2026, 10:45
    invited lecture

    Sport-related concussions (SRCs) represent a major public health concern, accounting for more than 200,000 annual Emergency Department visits in the United States. Biomechanically, SRCs arise from head impacts that generate high-magnitude linear and rotational accelerations. Increasing evidence from human studies indicates that repetitive head impact exposure (HIE) reduces concussion tolerance...

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  2. Iuliana Ionita-Laza (Columbia University)
    21/05/2026, 11:15
    oral presentation

    Genome-wide association studies (GWAS) for biomarkers and molecular phenotypes can lead to clinically relevant discoveries. Numerous lines of evidence from both model organisms and human studies suggest that genetic associations can be highly heterogeneous, dynamic and context dependent. Despite twenty years of GWAS, most studies are based on statistical models that fail to account for such...

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  3. Jonas Wallin (department of statistics)
    21/05/2026, 11:35
    oral presentation

    Protein degradation is a regulated process that reshapes the proteome and generates bioactive peptides. Peptidomics and degradomics enables large-scale measurement of these peptides, yet most
    data analyses approaches treat peptides as isolated endpoints rather than intermediates produced
    by sequential cleavage. Here, we introduce degradation graphs, a probabilistic framework that represents...

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  4. Mateusz Staniak (University of Wrocław)
    21/05/2026, 11:55
    oral presentation

    Bottom-up mass spectrometry-based proteomics studies changes in protein abundance and structure across various biological conditions. Since the currency of these experiments are peptides, i.e. subsets of protein sequences that carry the quantitative information, conclusions at a different level, e.g., at the level of proteins or of post-translational modifications, must be computationally...

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