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SDiPath Trailblazers in AI Series – Prof. Heba Sailem

February 27 @ 4:00 pm - 5:00 pm

Title: Deep learning approaches for identifying predictive biomarkers from the tumour microenvironment

Abstract: Tumour microenvironment plays a critical role in cancer progression and resistance. Histopathology and cellular imaging approaches allow capturing spatial organisation of different cell types in the tumour microenvironment and their potential interactions. While convolutional neural networks demonstrated a great performance in classifying histopathological datasets, they are difficult to interpret. We evaluated several deep learning architectures to histopathology data including weakly supervised and vision transformer approaches. We demonstrate how graph neural networks allow creating explainable deep learning models that provides insights into the diversity and complexity of the tumour microenvironment.

Bio: Dr Heba Sailem is a Group leader and Senior Lecturer (Associate Professor) of Biomedical AI and Data Science at the School of Cancer and Pharmaceutical Sciences at King’s College London. Her research is focused on developing artificial intelligence approaches for digital pathology and biomarker discovery toward personalised cancer patient treatment. Her group combines insights from histopathology, genetics, pharmaceutical medicine, and cell biology. Before joining King’s, she worked between the Institute of Biomedical Engineering and Big Data Institute at the University of Oxford and University of Zurich as a Sir Henry Wellcome Research Fellow. There, she developed several machine learning approaches to tackle challenges in pattern recognition and interpretability of large-scale biomedical image data and pioneered knowledge-driven machine learning for utilising prior knowledge when analysing large scale biomedical data. Dr Sailem did her PhD at the Institute of Cancer Research in London specializing in integrating phenotypic data with gene expression and modelling of the relationship between cell signalling and its context. She holds a BSc in Computer Information Systems and MSc in Data Warehousing and Data Mining.

Where: IN PERSON in L241 at the Institute of Tissue Medicine and Pathology, University of Bern or ONLINE  https://unibe-ch.zoom.us/j/63803320699?pwd=dENqZXFlOHV2YURhUVdLVUg2T2p6Zz09


February 27
4:00 pm - 5:00 pm