Methylation based Classification of Tumours

Event Details
Date: 28.11.2024, 17:30 o'clock - 19:00 o'clock 
Location: N2045, Universitätsstraße 2, 86159 Augsburg
Organizer(s): Lehrstuhl für Biomedizinische Informatik, Data Mining und Data Analytics
Topics: Studium, Wissenschaftliche Weiterbildung, Informatik, Gesundheit und Medizin
Series of events: Medical Information Sciences
Event Type: Vortragsreihe
Speaker(s): Areeba Patel
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In diesem Wintersemester wird die im WiSe 2022/23 erfolgreich gestartete Vortragsreihe Medical Information Sciences fortgesetzt. Renommierte Wissenschaftlerinnen und Wissenschaftler unterschiedlicher Fachdisziplinen und Forschungsstandorte geben jeden Donnerstag ab 17:30 Uhr Einblicke in aktuelle Fragestellungen und Anwendungsgebiete des breiten Forschungsfeldes Medical Information Sciences.


Epigenetics, which involves heritable changes in gene expression without DNA sequence alterations, plays a crucial role in tumour classification, with DNA methylation serving as a key biomarker. Tumour classification based on DNA methylation patterns has emerged as a pivotal approach in precision diagnostics, offering insights into cell-of-origin as well as tumour progression. This talk will explore the evolution of methylation-based classifiers, with a focus on CNS tumours, and highlight recent advances in using methylation profiling to achieve accurate and scalable diagnostics. Additionally, the talk will introduce development and application of novel technologies like nanopore sequencing and AI-based computational histopathology to improve accessibility of cutting-edge molecular diagnostics. 

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