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Transcriptomics meets Histology for enhanced medical machine learning

Master Thesis: Multimodal AI for PDAC Precursor Detection in Pathology

25.03.2025, Diplomarbeiten, Bachelor- und Masterarbeiten

The Schuefflerlab for Computational Pathology at the TUM Institute for Pathology is offering a CIT Master’s thesis in the field of medical machine learning and pathology AI (artificial intelligence). The study explores the potential unimodal and multimodal deep learning models to predict precursors of pancreatic ductal adenocarcinoma (PDAC) from histology and/or spatial transcriptomics data. Please find the attached PDF for a detailed description.

Please find the attached PDF for a detailed description.

Kontakt: peter.schueffler@tum.de

More Information

https://schuefflerlab.org/

1 DL-based transcriptomics prediction in histology.pdf, Project Description (Type: application/pdf, Size: 265.8 kB) Save attachment

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