APR 10, 2024 9:00 AM CEST

Linking spatial and temporal profiling to clinical settings through advanced machine learning

Sponsored by: Vizgen
Speakers
  • Carole Chedid, Ph.D

    Field Application Scientist, EMEA
    BIOGRAPHY
  • Univ.-Prof. Dr. med. Dieter Henrik Heiland

    Head of the Translational Neurosurgery, Friedrich-Alexander-University, Erlangen-Nürnberg Heisenberg Professor Attending Neurosurgeon, Department of Neurosurgery, University Clinic Erlangen Principal Investigator, Microenvironment and Immunology Research Laboratory, Team Erlangen and Freiburg, themilolab.com Associated professor (Adjunct), Department of Neurological Surgery, Northwestern University
    BIOGRAPHY

Event Date & Time
Date: April 10, 2024
Time: 9:00 AM (CEST), 12:00 AM (PST), 3:00 AM (EST),
Abstract
Leveraging advancements in spatially resolved single-cell profiling, our study enhances understanding of glioma evolution and the complex tumor microenvironment. Through spatially resolved multi-omic analysis of glioma samples from different treatments and stages, we've mapped glioblastoma's architectural changes over time, highlighting mechanisms behind therapy resistance. Our use of array-based and in-situ transcriptomics across treatment types revealed key transcriptional programs related to resistance, showing significant inter-patient heterogeneity and unique resistance pathways in recurrent tumors. We identified  adaptations in the neural and immune microenvironment shifts post-immunotherapy, indicating mechanisms of resistance development. By integrating spatial transcriptomics and clinical data into graph-neural networks, we've created models predicting treatment responses, offering new insights for precision oncology.
 
 
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