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3,960 results for “lung patient”
Proteomic and Metabolomic Profiling of Plasma Predict Immune-related Adverse Events in Older Patients with Advanced Non-small Cell Lung Cancer
Open the record for dataset details and reuse information.
Preliminary Report on Computed Tomography Radiomics Features as biomarkers to Immunotherapy selection in Lung Adenocarcinoma Patients
<p>We uploaded all radiomics metrics extracted for 88 patients enrolled in the study: Preliminary Report on Computed Tomography Radiomics Features as biomarkers to Immunotherapy selection in Lung Adenocarcinoma Patients.</p> <p>Each radiomic feature is described in the Appendix of the manuscript.</p> <p>Moreover Overall survival (OS) and Progression free survival (PFS) for each patient is provided.</p>
Deep learning to estimate durable clinical benefit and prognosis from patients with non-small cell lung cancer treated with PD-1/PD-L1 blockade
<p>Different biomarkers based on genomics variants have been used to predict the response of patients treated with PD-1/programmed death receptor 1 ligand (PD-L1) blockade. We aimed to use deep-learning algorithm to estimate clinical benefit in patients with non-small-cell lung cancer (NSCLC) before immunotherapy. Peripheral blood samples or tumor tissues of 915 patients from three independent centers were profiled by whole-exome sequencing or next-generation sequencing. Based on convolutional neural network (CNN) and three conventional machine learning (cML) methods, we used multi-panels to train the models for predicting the durable clinical benefit (DCB) and combined them to develop a nomogram model for predicting prognosis. In the three cohorts, the CNN achieved the highest area under the curve of predicting DCB among cML, PD-L1 expression, and tumor mutational burden (area under the curve [AUC] = 0.965, 95% confidence interval [CI]: 0.949–0.978, <em>P</em> < 0.001; AUC =0.965, 95% CI: 0.940–0.989, <em>P</em> < 0.001; AUC = 0.959, 95% CI: 0.942–0.976, <em>P</em> < 0.001, respectively). Patients with CNN-high had longer progression-free survival (PFS) and overall survival (OS) than patients with CNN-low in the three cohorts. Subgroup analysis confirmed the efficient predictive ability of CNN. Combining three cML methods (CNN, SVM, and RF) yielded a robust comprehensive nomogram for predicting PFS and OS in the three cohorts (each <em>P</em> < 0.001). The proposed deep-learning method based on mutational genes revealed the potential value of clinical benefit prediction in patients with NSCLC and provides novel insights for combined machine learning in PD-1/PD-L1 blockade.</p>
Single-Cell Transcriptomics Reveals Pre-existing COVID-19 Vulnerability Factors in Lung Cancer Patients
<p>This dataset contains the processed scRNA-seq data and code used to investigate the association between lung cancers and COVID-19. Please refer to the article 'Single-Cell Transcriptomics Reveals Pre-existing COVID-19 Vulnerability Factors in Lung Cancer Patients' for the detailed data and method description.</p> <p>covid_cancer.rds: the processed scRNA-seq data saved as a Seurat object.</p> <p>notebooks.zip: Jupyter notebooks containing code for data analysis.</p>
Symptom Burden and Unmet Supportive Care Needs in Lung Cancer Patients Undergoing First or Second Line Immunotherapy
ClinicalTrials.gov study NCT03741868. IPD Sharing: NO. Countries: 1. Publications: 2.
Effects of Dexmedetomidine on Oxygenation and Lung Mechanics in Morbidly Obese Patients Undergoing Bariatric Operations
ClinicalTrials.gov study NCT02843698. IPD Sharing: NO. Countries: 1. Publications: 1.
Early Specialized Cardiovascular Intervention Based on Impedance Cardiography in Locally Advanced Non-small Cell Lung Cancer Patients
ClinicalTrials.gov study NCT04980716. IPD Sharing: Not stated. Countries: 1. Publications: 25.
Effect of Dry-weight Probing Guided by Lung-Ultrasound on Ambulatory Blood Pressure and Arterial Stiffness in Hemodialysis Patients (LUST Sub-Study)
ClinicalTrials.gov study NCT03058874. IPD Sharing: NO. Countries: 2. Publications: 15.
Combination Chemotherapy With or Without Bevacizumab in Treating Patients With Advanced, Metastatic, or Recurrent Non-Small Cell Lung Cancer
ClinicalTrials.gov study NCT00021060. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Early Versus Delayed Rehabilitation Intervention in Patients With Lung Cancer
ClinicalTrials.gov study NCT06051136. IPD Sharing: NO. Countries: 1. Publications: 1.
Topotecan and Vinorelbine in Treating Patients With Recurrent Lung Cancer
ClinicalTrials.gov study NCT00287963. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Coagulation Profile in Patients Undergoing Video Assisted Thorascopic Surgery (VATS) for Lung Cancer
ClinicalTrials.gov study NCT01741506. IPD Sharing: Not stated. Countries: 1. Publications: 1.
An Analysis of Treatment Timelines for Lung Cancer Patients Across System Evolutions
ClinicalTrials.gov study NCT03535766. IPD Sharing: NO. Countries: 1. Publications: 3.
Histocompatibility Leukocyte Antigen (HLA)-A*0201 Restricted Peptide Vaccine Therapy in Patients With Non-Small Cell Lung Cancer
ClinicalTrials.gov study NCT00673777. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Effect of Heart-lung-machine on Selenium Status of Cardiac Surgical Patients Undergoing Coronary Bypass Surgery
ClinicalTrials.gov study NCT01409057. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Efficacy/Safety of Imprime PGG® Injection With Bevacizumab and Paclitaxel/Carboplatin in Patients With Untreated Advanced Non-Small Cell Lung Cancer (NSCLC)
ClinicalTrials.gov study NCT00874107. IPD Sharing: Not stated. Countries: 2. Publications: 2.
VX-710, Doxorubicin, and Vincristine for the Treatment of Patients With Recurrent Small Cell Lung Cancer
ClinicalTrials.gov study NCT00003847. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Bortezomib With or Without Docetaxel in Treating Patients With Relapsed or Refractory Advanced Non-Small Cell Lung Cancer
ClinicalTrials.gov study NCT00064012. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Adjuvant Vinorelbine Plus Cisplatin (NP) Versus NP Plus Endostar in Patients With Completely Resected Stage IB-IIIA Non-small Cell Lung Cancer
ClinicalTrials.gov study NCT00576914. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Gefitinib With or Without Carboplatin and Paclitaxel in Treating Older Patients With Unresectable or Metastatic Non-Small Cell Lung Cancer
ClinicalTrials.gov study NCT00062062. IPD Sharing: Not stated. Countries: 2. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.