AIMC Topic: Programmed Cell Death 1 Receptor

Clear Filters Showing 31 to 34 of 34 articles

Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients.

Briefings in bioinformatics Sep 2, 2021
Glioblastoma (GBM) is the most malignant and lethal intracranial tumor, with extremely limited treatment options. Immunotherapy has been widely studied in GBM, but none can significantly prolong the overall survival (OS) of patients without selection...
Machine Learning Prognosis Female Humans Neoplastic Stem Cells Glioblastoma Patient Selection Gene Expression Regulation, Neoplastic Treatment Outcome Temozolomide Antineoplastic Agents, Alkylating Atlases as Topic Programmed Cell Death 1 Receptor Survival Analysis Male Middle Aged Transcriptome Immunotherapy Gene Expression Profiling Tumor Microenvironment Brain Neoplasms Aged Adult
View on PubMed DOI

Artificial Intelligence Estimates the Importance of Baseline Factors in Predicting Response to Anti-PD1 in Metastatic Melanoma.

American journal of clinical oncology Aug 1, 2019
OBJECTIVE: Prognosis of patients with metastatic melanoma has dramatically improved over recent years because of the advent of antibodies targeting programmed cell death protein-1 (PD1). However, the response rate is ~40% and baseline biomarkers for ...
L-Lactate Dehydrogenase Lymphocyte Count Neoplasms, Unknown Primary Mucous Membrane Programmed Cell Death 1 Receptor Uveal Neoplasms Male Middle Aged Neutrophils Age Factors Treatment Outcome Aged Survival Rate Melanoma Skin Neoplasms Humans Neural Networks, Computer Retrospective Studies Female Forecasting
View on PubMed DOI

Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers.

Annals of oncology : official journal of the European Society for Medical Oncology Jun 1, 2019
INTRODUCTION: Immunotherapy is regarded as one of the major breakthroughs in cancer treatment. Despite its success, only a subset of patients responds-urging the quest for predictive biomarkers. We hypothesize that artificial intelligence (AI) algori...
Tomography, X-Ray Computed Melanoma Lung Neoplasms Immunotherapy Survival Rate Follow-Up Studies Algorithms Prognosis Predictive Value of Tests Artificial Intelligence Programmed Cell Death 1 Receptor Humans Machine Learning Antineoplastic Combined Chemotherapy Protocols Carcinoma, Non-Small-Cell Lung
View on PubMed DOI

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
Models, Genetic Adult Carcinoma, Non-Small-Cell Lung Aged Middle Aged Male Predictive Value of Tests Aged, 80 and over Lung Biomarkers, Tumor Lung Neoplasms Programmed Cell Death 1 Receptor Humans Drug Resistance, Neoplasm B7-H1 Antigen Mutation Machine Learning Biopsy
View on PubMed DOI
Popular Topics
Recent Journals