Research graph
References from Dual-Foundation-Model Ensemble Predicts Gene Expression in Muscle-Invasive Bladder Cancer for Patient Outcome Stratification. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
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Characteristics, treatment patterns, and clinical outcomes of patients undergoing neoadjuvant chemotherapy and radical cystectomy for muscle-invasive bladder cancer in the real world
10.1200/jco.2024.42.4_suppl.552 · 2024 · External reference
Intratumoral heterogeneity of bladder cancer by molecular subtypes and histologic variants
10.1016/j.eururo.2018.09.003 · 2018 · External reference
Divergent biological response to neoadjuvant chemotherapy in muscle-invasive bladder cancer
10.1158/1078-0432.ccr-18-1106 · 2018 · External reference
Identification of Distinct Basal and Luminal Subtypes of Muscle-Invasive Bladder Cancer with Different Sensitivities to Frontline Chemotherapy
10.1016/j.ccr.2014.01.009 · 2014 · External reference
Assessment of luminal and basal phenotypes in bladder cancer
10.1038/s41598-020-66747-7 · 2020 · External reference
Clinical implications of molecular subtyping in bladder cancer
10.1097/mou.0000000000000641 · 2019 · External reference
Impact of consensus molecular subtypes on survival with and without adjuvant chemotherapy in muscle-invasive urothelial bladder cancer
2023 · External reference
A consensus molecular classification of muscle-invasive bladder cancer
10.1016/j.eururo.2019.09.006 · 2019 · External reference
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
10.1038/s41591-019-0462-y · 2019 · External reference
Deep learning based on hematoxylin–eosin staining outperforms immunohistochemistry in predicting molecular subtypes of gastric adenocarcinoma
10.1002/path.5879 · 2022 · External reference
Real-world deployment of a fine-tuned pathology foundation model for lung cancer biomarker detection
10.1038/s41591-025-03780-x · 2025 · External reference
Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides
10.1016/j.eururo.2020.04.023 · 2020 · External reference
Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning
10.1038/s41698-020-0120-3 · 2020 · External reference
A deep learning model to predict RNA-Seq expression of tumours from whole slide images
10.1038/s41467-020-17678-4 · 2020 · External reference
Deep learning predicts gene expression as an intermediate data modality to identify susceptibility patterns in Mycobacterium tuberculosis infected Diversity Outbred mice
10.1016/j.ebiom.2021.103388 · 2021 · External reference
Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
10.1158/0008-5472.can-21-0482 · 2021 · External reference
Surrogate Biomarker Prediction from Whole-Slide Images for Evaluating Overall Survival in Lung Adenocarcinoma
10.3390/diagnostics14050462 · 2024 · External reference
Transformer-based unsupervised contrastive learning for histopathological image classification
10.1016/j.media.2022.102559 · 2022 · External reference
A foundation model for clinical-grade computational pathology and rare cancers detection
10.1038/s41591-024-03141-0 · 2024 · External reference
A whole-slide foundation model for digital pathology from real-world data
10.1038/s41586-024-07441-w · 2024 · External reference
Method for diagnosis of acute lymphoblastic leukemia based on VIT‐CNN Ensemble model
10.1155/2021/7529893 · 2021 · External reference
Plant-CNN-ViT: Plant Classification with Ensemble of Convolutional Neural Networks and Vision Transformer
10.3390/plants12142642 · 2023 · External reference
Vision Transformer-Based Ensemble Learning for hyperspectral image classification
10.3390/rs15215208 · 2023 · External reference
Comprehensive molecular characterization of Muscle-Invasive Bladder Cancer
10.1016/j.cell.2017.09.007 · 2017 · External reference
Histomolekulare Klassifikation des Urothelkarzinoms der Harnblase
10.1007/s00292-024-01305-w · 2024 · External reference
Optimizing identification of consensus molecular subtypes in muscle-invasive bladder cancer: a comparison of two sequencing methods and gene sets using FFPE specimens
10.1186/s12885-023-11016-9 · 2023 · External reference
ACAT: A Fast and Powerful p Value Combination Method for Rare-Variant Analysis in Sequencing Studies
10.1016/j.ajhg.2019.01.002 · 2019 · External reference
Molecular urothelial tumor cell subtypes remain stable during metastatic evolution
10.1016/j.eururo.2023.03.020 · 2023 · External reference
NECTIN4 amplification is frequent in solid tumors and predicts enfortumab vedotin response in metastatic urothelial cancer
10.1200/jco.23.01983 · 2024 · External reference
TROP2 expression across molecular subtypes of urothelial carcinoma and enfortumab vedotin-resistant cells
10.1016/j.euo.2021.11.005 · 2022 · External reference
Concordance and prognostic value of antibody drug conjugate and checkpoint inhibition targets in matched bladder cancer specimens from transurethral resection of the bladder, radical cystectomy and lymphadenectomy
10.1016/j.urolonc.2026.111095 · 2026 · External reference
Tertiary lymphoid structures marker CXCL13 is associated with better survival for patients with advanced-stage bladder cancer treated with immunotherapy
10.1016/j.ejca.2021.01.036 · 2021 · External reference
CXCL10 could be a prognostic and immunological biomarker in bladder cancer
10.1007/s12672-024-00982-6 · 2024 · External reference
Upregulation of IFNɣ-mediated chemokines dominate the immune transcriptome of muscle-invasive urothelial carcinoma
10.1038/s41598-021-04678-7 · 2022 · External reference
Artificial intelligence meets whole slide images: deep learning model shapes an Immune-Hot tumor and guides precision therapy in bladder cancer
2022 · External reference
Overexpression of HMGA2 in bladder cancer and its association with clinicopathologic features and prognosis
10.1016/j.ejso.2011.01.004 · 2011 · External reference
Loss of SPINK1 expression is associated with unfavorable outcomes in urothelial carcinoma of the bladder after radical cystectomy
10.1016/j.urolonc.2012.06.011 · 2012 · External reference
Correlation of pathological grade and tumor stage of urothelial carcinomas with CD109 expression
10.1111/j.1440-1827.2010.02592.x · 2010 · External reference
CD44 in bladder cancer
10.3390/cancers16061195 · 2024 · External reference
FOXA1 repression drives lineage plasticity and immune heterogeneity in bladder cancers with squamous differentiation
10.1038/s41467-022-34251-3 · 2022 · External reference
PPARγ activation serves as therapeutic strategy against bladder cancer via inhibiting PI3K-Akt signaling pathway
10.1186/s12885-019-5426-6 · 2019 · External reference
The urothelial gene regulatory network: understanding biology to improve bladder cancer management
10.1038/s41388-023-02876-3 · 2023 · External reference
Snai2‐mediated upregulation of NADSYN1 promotes bladder cancer progression by interacting with PHB
10.1002/ctm2.1555 · 2024 · External reference
FBP1 regulates proliferation, metastasis, and chemoresistance by participating in C-MYC/STAT3 signaling axis in ovarian cancer
10.1038/s41388-021-01957-5 · 2021 · External reference
Exome sequencing identifies recurrent SPOP, FOXA1 and MED12 mutations in prostate cancer
10.1038/ng.2279 · 2012 · External reference
FOXA1 promotes tumor progression in prostate cancer and represents a novel hallmark of Castration-Resistant prostate cancer
10.1016/j.ajpath.2011.10.021 · 2011 · External reference
Loss of FOXA1 drives sexually dimorphic changes in urothelial differentiation and is an independent predictor of poor prognosis in bladder cancer
10.1016/j.ajpath.2015.01.014 · 2015 · External reference
FOXA1 Gene Expression for Defining Molecular Subtypes of Muscle-Invasive Bladder Cancer after Radical Cystectomy
10.3390/jcm9040994 · 2020 · External reference
Comparing two correlated C indices with right‐censored survival outcome: a one‐shot nonparametric approach
10.1002/sim.6370 · 2014 · External reference
Benchmarking foundation models as feature extractors for weakly supervised computational pathology
10.1038/s41551-025-01516-3 · 2025 · External reference
Unresolved reference
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Ensemble learning using decorrelated neural networks
10.1080/095400996116820 · 1996 · External reference
Efficacy and safety of trastuzumab deruxtecan in patients with HER2-Expressing solid tumors: Primary results from the DESTINY-PanTumor02 Phase II trial
10.1200/jco.23.02005 · 2023 · External reference
Accurate Diagnosis and Survival Prediction of Bladder Cancer Using Deep Learning on Histological Slides
10.3390/cancers14235807 · 2022 · External reference
Digital profiling of gene expression from histology images with linearized attention
10.1038/s41467-024-54182-5 · 2024 · External reference
Benchmarking the translational potential of spatial gene expression prediction from histology
10.1038/s41467-025-56618-y · 2025 · External reference
Clinical outcomes of muscle invasive bladder Cancer according to the BASQ classification
10.1186/s12885-019-6042-1 · 2019 · External reference
Integrated Analysis of Energy Metabolism Signature-Identified Distinct Subtypes of Bladder Urothelial Carcinoma
2022 · External reference
SWI/SNF chromatin remodeling complex and glucose metabolism are deregulated in advanced bladder cancer
10.1002/iub.2254 · 2020 · External reference
High-resolution transcriptome atlas of bladder cancer highlights the functional myeloid subsets in modulating immune microenvironment
10.1016/j.ebiom.2025.105801 · 2025 · External reference
E74 like ETS transcription factor 3 (ELF3) is a negative regulator of epithelial- mesenchymal transition in bladder carcinoma
10.3233/cbm-190013 · 2019 · External reference
WNT7B represses epithelial-mesenchymal transition and stem-like properties in bladder urothelial carcinoma
10.1016/j.bbadis.2021.166271 · 2021 · External reference
Identification of ELF3 as an early transcriptional regulator of human urothelium
10.1016/j.ydbio.2013.12.028 · 2013 · External reference
Blocking YAP1–Liprin-β2 interaction impedes metastasis and promotes tumor suppression in head and neck squamous carcinoma
10.1038/s41598-025-11652-0 · 2025 · External reference
Identification of signature genes associated with invasiveness and the construction of a prognostic model that predicts the overall survival of bladder cancer
10.3389/fgene.2021.694777 · 2021 · External reference
In Silico Prediction of Human Clinical Pharmacokinetics with ANDROMEDA by Prosilico: Predictions for an Established Benchmarking Data Set, a Modern Small Drug Data Set, and a Comparison with Laboratory Methods
10.1177/02611929221148447 · 2022 · External reference
Deep-learning-based HER2 status assessment from multimodal breast cancer data predicts neoadjuvant therapy response
10.1038/s41551-025-01495-5 · 2025 · External reference
Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer
10.1038/s41379-021-00911-w · 2021 · External reference
Using machine learning to predict laboratory test results
10.1093/ajcp/aqw064 · 2016 · External reference
Learning latent space representations to predict patient outcomes: model development and validation
10.2196/16374 · 2020 · External reference
Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning
10.1136/gutjnl-2019-319866 · 2020 · External reference
Living in a noisy world—origins of gene expression noise and its impact on cellular decision‐making
10.1002/1873-3468.14898 · 2024 · External reference
HISTOGWAS: an AI-enabled framework for automated genetic analysis of tissue phenotypes in histology cohorts
2024 · External reference
