DeepSpot-M: a multimodal foundation model for transcriptome-wide virtual spatial transcriptomics from histology. DeepSpot-M was developed by Kalin Nonchev, Sebastian Dawo, Karina Silina, Viktor ...
Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, Texas 78229, United States Howard Hughes Medical Institute, University of Texas Health San ...
This repository contains the code of the paper "DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images". Authors: Kalin Nonchev, Sebastian Dawo, Karina ...
Copyright: © 2023 The Author(s). Published by Elsevier B.V. Deep learning has revolutionized digital pathology, allowing automatic analysis of hematoxylin and eosin ...
Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer, and it is the major cause of kidney cancer death. Understanding tumor immune microenvironments (TMEs) is critical ...
Proteomics Unit, Department of Biomedicine, University of Bergen, 5020 Bergen, Norway Computational Biology Unit, Department of Informatics, University of Bergen, 5008 Bergen, Norway ...
An increasing number of clinical trials require biomarker-driven patient stratification, especially for revolutionary immune checkpoint blockade therapy. Due to the complicated interaction between a ...
A further understanding of the molecular mechanism of hepatocellular carcinoma (HCC) is necessary to predict a patient’s prognosis and develop new targeted gene drugs. This study aims to identify ...
We present global cell-level TIL maps and 43 quantitative TIL spatial image features for 1,000 WSIs of The Cancer Genome Atlas patients with breast cancer. For more specific analysis, all the patients ...
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