Regression-based Deep-Learning predicts molecular biomarkers from pathology slides
Deep Learning (DL) can predict biomarkers from cancer histopathology. Several clinically
approved applications use this technology. Most approaches, however, predict categorical …
approved applications use this technology. Most approaches, however, predict categorical …
Prediction of DNA methylation-based tumor types from histopathology in central nervous system tumors with deep learning
Precision in the diagnosis of diverse central nervous system (CNS) tumor types is crucial for
optimal treatment. DNA methylation profiles, which capture the methylation status of …
optimal treatment. DNA methylation profiles, which capture the methylation status of …
The new world of RNA diagnostics and therapeutics
G Blandino, R Dinami, M Marcia… - Journal of Experimental …, 2023 - Springer
The 5th Workshop IRE on Translational Oncology was held in Rome (Italy) on 27–28 March
at the IRCCS Regina Elena National Cancer Institute. This meeting entitled “The New World …
at the IRCCS Regina Elena National Cancer Institute. This meeting entitled “The New World …
Gene expression prediction from histology images via hypergraph neural networks
Spatial transcriptomics reveals the spatial distribution of genes in complex tissues, providing
crucial insights into biological processes, disease mechanisms, and drug development. The …
crucial insights into biological processes, disease mechanisms, and drug development. The …
Predicting the tumor microenvironment composition and immunotherapy response in non-small cell lung cancer from digital histopathology images
Immune checkpoint inhibitors (ICI) have become integral to treatment of non-small cell lung
cancer (NSCLC). However, reliable biomarkers predictive of immunotherapy efficacy are …
cancer (NSCLC). However, reliable biomarkers predictive of immunotherapy efficacy are …
Spatial gene expression at single-cell resolution from histology using deep learning with GHIST
The increased use of spatially resolved transcriptomics provides new biological insights into
disease mechanisms. However, the high cost and complexity of these methods are barriers …
disease mechanisms. However, the high cost and complexity of these methods are barriers …
M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images
H Wang, X Du, J Liu, S Ouyang, YW Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
The advancement of Spatial Transcriptomics (ST) has facilitated the spatially-aware profiling
of gene expressions based on histopathology images. Although ST data offers valuable …
of gene expressions based on histopathology images. Although ST data offers valuable …