AIMC Topic: B7-H1 Antigen

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A deep-learning workflow to predict upper tract urothelial carcinoma protein-based subtypes from H&E slides supporting the prioritization of patients for molecular testing.

The journal of pathology. Clinical research Mar 1, 2024
Upper tract urothelial carcinoma (UTUC) is a rare and aggressive, yet understudied, urothelial carcinoma (UC). The more frequent UC of the bladder comprises several molecular subtypes, associated with different targeted therapies and overlapping with...
B7-H1 Antigen Artificial Intelligence Workflow Molecular Diagnostic Techniques Biomarkers, Tumor Retrospective Studies Carcinoma, Transitional Cell Deep Learning Humans Urinary Bladder Neoplasms Urologic Neoplasms
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Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression.

Cancer research communications Jan 11, 2024
UNLABELLED: Programmed death-ligand 1 (PD-L1) IHC is the most commonly used biomarker for immunotherapy response. However, quantification of PD-L1 status in pathology slides is challenging. Neither manual quantification nor a computer-based mimicking...
Lung Neoplasms B7-H1 Antigen Deep Learning Humans Carcinoma, Non-Small-Cell Lung Immunotherapy
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Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes.

Health informatics journal Jan 1, 2023
PD-L1 expression is used to determine oncology patients' response to and eligibility for immunologic treatments; however, PD-L1 expression status often only exists in unstructured clinical notes, limiting ability to use it in population-level studie...
Natural Language Processing Medical Records B7-H1 Antigen Machine Learning Electronic Health Records Software Humans
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Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images.

Journal for immunotherapy of cancer Jun 1, 2021
BACKGROUND: Currently, only a fraction of patients with non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs) experience a durable clinical benefit (DCB). According to NCCN guidelines, Programmed death-ligand 1 (PD-L1) e...
Positron Emission Tomography Computed Tomography Humans Immunotherapy Deep Learning B7-H1 Antigen Biomarkers, Tumor Female Middle Aged Cohort Studies Male
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Machine learning-based predictors for immune checkpoint inhibitor therapy of non-small-cell lung cancer.

Annals of oncology : official journal of the European Society for Medical Oncology Apr 1, 2019
Programmed Cell Death 1 Receptor Drug Resistance, Neoplasm Mutation Middle Aged Biopsy Lung Predictive Value of Tests Machine Learning Aged, 80 and over Humans Male Models, Genetic Aged Biomarkers, Tumor Adult B7-H1 Antigen Carcinoma, Non-Small-Cell Lung Lung Neoplasms
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