Programmed Cell Death 1 Receptor

PD-1 Targeted Antibody Discovery Using AI Protein Diffusion.

Technology in cancer research & treatment 39228166

The programmed cell death protein 1 (PD-1, CD279) is an important therapeutic target in many oncological diseases. This checkpoint protein inhibits T lymphocytes from attacking other cells in the body and thus blocking it improves the clearance of tu...

Antibodies Artificial Intelligence Drug Design Humans Immunoglobulin Variable Region Molecular Targeted Therapy Neoplasms Programmed Cell Death 1 Receptor

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Characterization of unique pattern of immune cell profile in patients with nasopharyngeal carcinoma through flow cytometry and machine learning.

Journal of cellular and molecular medicine 38888489

In patients with nasopharyngeal carcinoma (NPC), the alteration of immune responses in peripheral blood remains unclear. In this study, we established an immune cell profile for patients with NPC and used flow cytometry and machine learning (ML) to i...

Adult Aged Case-Control Studies CD8-Positive T-Lymphocytes Female Flow Cytometry Humans Machine Learning Male Middle Aged Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Programmed Cell Death 1 Receptor

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Machine learning and radiomics for predicting efficacy of programmed cell death protein 1 inhibitor for small cell lung cancer: A multicenter cohort study.

Clinical and translational medicine 38840331

Aged Cohort Studies Female Humans Immune Checkpoint Inhibitors Lung Neoplasms Machine Learning Male Middle Aged Programmed Cell Death 1 Receptor Radiomics Small Cell Lung Carcinoma Treatment Outcome

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A preliminary study on the diagnostic performance of the uPath PD-L1 (SP263) artificial intelligence (AI) algorithm in patients with NSCLC treated with PD-1/PD-L1 checkpoint blockade.

Pathologica 39377504

OBJECTIVE: The uPath PD-L1 (SP263) is an AI-based platform designed to aid pathologists in identifying and quantifying PD-L1 positive tumor cells in non-small cell lung cancer (NSCLC) samples stained with the SP263 assay.

Adult Aged Aged, 80 and over Algorithms Artificial Intelligence B7-H1 Antigen Biomarkers, Tumor Carcinoma, Non-Small-Cell Lung Female Humans Immune Checkpoint Inhibitors Lung Neoplasms Male Middle Aged Programmed Cell Death 1 Receptor

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A two-stage ensemble learning based prediction and grading model for PD-1/PD-L1 inhibitor-related cardiac adverse events: A multicenter retrospective study.

Computer methods and programs in biomedicine 39163785

BACKGROUND: Immune-related cardiac adverse events (ircAEs) caused by programmed cell death protein-1 (PD-1) and programmed death-ligand-1 (PD-L1) inhibitors can lead to fulminant and even fatal consequences. This study aims to develop a prediction an...

Aged Algorithms B7-H1 Antigen Female Humans Immune Checkpoint Inhibitors Machine Learning Male Middle Aged Natriuretic Peptide, Brain Peptide Fragments Programmed Cell Death 1 Receptor Retrospective Studies ROC Curve

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A multi-task deep learning model based on comprehensive feature integration and self-attention mechanism for predicting response to anti-PD1/PD-L1.

International immunopharmacology 39265355

BACKGROUND: Immune checkpoint inhibitor (ICI) has been widely used in the treatment of advanced cancers, but predicting their efficacy remains challenging. Traditional biomarkers are numerous but exhibit heterogeneity within populations. For comprehe...

B7-H1 Antigen Biomarkers, Tumor Deep Learning Humans Immune Checkpoint Inhibitors Neoplasms Programmed Cell Death 1 Receptor

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A transformer-based deep learning survival prediction model and an explainable XGBoost anti-PD-1/PD-L1 outcome prediction model based on the cGAS-STING-centered pathways in hepatocellular carcinoma.

Briefings in bioinformatics 39749665

Recent studies suggest cGAS-STING pathway may play a crucial role in the genesis and development of hepatocellular carcinoma (HCC), closely associated with classical pathways and tumor immunity. We aimed to develop models predicting survival and anti...

Algorithms B7-H1 Antigen Carcinoma, Hepatocellular Deep Learning Humans Immune Checkpoint Inhibitors Liver Neoplasms Membrane Proteins Nucleotidyltransferases Prognosis Programmed Cell Death 1 Receptor Signal Transduction

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Factors inducing cutaneous adverse reactions in cancer patients treated with PD-1 and PD-L1 inhibitors: a machine-learning algorithm approach.

Immunopharmacology and immunotoxicology 39542723

BACKGROUND: Immune checkpoint inhibitors (ICIs) show promise in cancer treatment but can lead to immune-related adverse events (irAEs), notably affecting the skin. Understanding the factors behind these skin reactions is crucial for effective managem...

Adult Aged Aged, 80 and over Algorithms B7-H1 Antigen Drug Eruptions Female Humans Immune Checkpoint Inhibitors Machine Learning Male Middle Aged Neoplasms Programmed Cell Death 1 Receptor

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Deciphering the Role of SLFN12: A Novel Biomarker for Predicting Immunotherapy Outcomes in Glioma Patients Through Artificial Intelligence.

Journal of cellular and molecular medicine 39740094

Gliomas are the most prevalent form of primary brain tumours. Recently, targeting the PD-1 pathway with immunotherapies has shown promise as a novel glioma treatment. However, not all patients experience long-lasting benefits, underscoring the necess...

Artificial Intelligence Biomarkers, Tumor Brain Neoplasms Cell Line, Tumor Cell Proliferation Gene Expression Regulation, Neoplastic Glioma Humans Immunotherapy Prognosis Programmed Cell Death 1 Receptor Treatment Outcome Tumor Microenvironment

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Towards novel small-molecule inhibitors blocking PD-1/PD-L1 pathway: From explainable machine learning models to molecular dynamics simulation.

International journal of biological macromolecules 39414203

Molecular design of small-molecule inhibitors targeting programmed cell death-1 (PD-1)/programmed cell death ligand-1 (PD-L1) pathway has been recognized as an active research area by the clinical success of cancer immunotherapy. In recent years, usi...

B7-H1 Antigen Drug Design Humans Immune Checkpoint Inhibitors Ligands Machine Learning Molecular Docking Simulation Molecular Dynamics Simulation Programmed Cell Death 1 Receptor Signal Transduction Small Molecule Libraries

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AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

PD-1 Targeted Antibody Discovery Using AI Protein Diffusion.

Characterization of unique pattern of immune cell profile in patients with nasopharyngeal carcinoma through flow cytometry and machine learning.

Machine learning and radiomics for predicting efficacy of programmed cell death protein 1 inhibitor for small cell lung cancer: A multicenter cohort study.

A preliminary study on the diagnostic performance of the uPath PD-L1 (SP263) artificial intelligence (AI) algorithm in patients with NSCLC treated with PD-1/PD-L1 checkpoint blockade.

A two-stage ensemble learning based prediction and grading model for PD-1/PD-L1 inhibitor-related cardiac adverse events: A multicenter retrospective study.

A multi-task deep learning model based on comprehensive feature integration and self-attention mechanism for predicting response to anti-PD1/PD-L1.

A transformer-based deep learning survival prediction model and an explainable XGBoost anti-PD-1/PD-L1 outcome prediction model based on the cGAS-STING-centered pathways in hepatocellular carcinoma.

Factors inducing cutaneous adverse reactions in cancer patients treated with PD-1 and PD-L1 inhibitors: a machine-learning algorithm approach.

Deciphering the Role of SLFN12: A Novel Biomarker for Predicting Immunotherapy Outcomes in Glioma Patients Through Artificial Intelligence.

Towards novel small-molecule inhibitors blocking PD-1/PD-L1 pathway: From explainable machine learning models to molecular dynamics simulation.

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