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SUMMARY:Modeling patient tissues at molecular resolution with Eva
DESCRIPTION:Statistical Bioinformatics SeminarSpeaker: Yufan Liu\, HKU \n\n\n\nThis is an online event held via Zoom: https://uni-sydney.zoom.us/j/85114748391 \n\n\n\n\n\n\n\n\n\nTissue structure is essential to function and homeostasis in all organs\, and disruptions to structure usually indicate disease. Modeling relationships between structural\, molecular\, and clinical aspects of tissues could advance new diagnostics and treatment strategies. Although profiling techniques like spatial proteomics can capture these relationships\, the data remain challenging to extract insight from. Here\, we present Eva\, a foundation model for tissue imaging data that learns multi-scale spatial representations of tissues at the molecular\, cellular\, and sample level. Eva uses a novel vision transformer architecture and is pre-trained on masked reconstruction of over 40 million matched spatial proteomics and histopathology images. We show that Eva excels at a variety of tasks\, including cross-modal inference from H&E to proteomics stains\, quality control\, data annotation\, zero-shot retrieval\, survival modeling\, and patient stratification. Extensive evaluations on held-out validation data demonstrate the versatility and generalizability of the learned embeddings. We anticipate that Eva will accelerate translational science by bridging basic research and clinical practice. \n\n\n\n\n\n\nSubscribe to our seminar mailing list\n\n\n\n\n→\n\n\n\n\n\n\n\nFind out more about the Statistical Bioinformatics seminar series\n\n\n\n\n\n→\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDr Xiting Yan\n\n\n\nYufan Liu is a PhD candidate in Computer Science at the School of Computing and Data Science\, The University of Hong Kong. His research interests include AI4Science\, bioinformatics\, and computational biology\, with a particular focus on spatial biology.
URL:https://spds.sydney.edu.au/event/modeling-patient-tissues-at-molecular-resolution-with-eva/
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