Isabelle Gaffney
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View article: 822 GraphITE: unsupervised graph embeddings approach to multiplex immunofluorescence image exploration reveals new insights into NSCLC and HNSCC tumor microenvironment
822 GraphITE: unsupervised graph embeddings approach to multiplex immunofluorescence image exploration reveals new insights into NSCLC and HNSCC tumor microenvironment Open
Background Predictive biomarkers for response to IO therapies remain insufficient. Although multiplex immunofluorescence has the potential to provide superior biomarkers, the information garnered from these studies is frequently underlever…
View article: Image model embeddings for digital pathology and drug development via self-supervised learning
Image model embeddings for digital pathology and drug development via self-supervised learning Open
Whole slide images (WSIs) contain rich pathology information which can be used to diagnose cancer, characterize the tumour microenvironment (TME), assess patient prognosis, and provide insights into the likelihood of whether a patient may …
View article: An Unsupervised Graph Embeddings Approach to Multiplex Immunofluorescence Image Exploration
An Unsupervised Graph Embeddings Approach to Multiplex Immunofluorescence Image Exploration Open
Understanding the complex biology of the tumor microenvironment (TME) is necessary to understand the mechanisms of action of immuno-oncology therapies and to match the right therapies to the right patients. Multiplex immunofluorescence (mI…