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UnknownClinical impact of immune microenvironment in stage I lung adenocarcinoma: tumor interleukin-12 receptor β2 (IL-12Rβ2), IL-7R, and stromal FoxP3/CD3 ratio are independent predictors of recurrence.
Not available
S-EPMC3731922 | biostudies-literature
UnknownPhase II Study of Hemithoracic Intensity-Modulated Pleural Radiation Therapy (IMPRINT) As Part of Lung-Sparing Multimodality Therapy in Patients With Malignant Pleural Mesothelioma.
Not available
S-EPMC5019761 | biostudies-literature
MetabolomicsDeciphering metabolomic alterations in seminal plasma of crossbred (Bos taurus X Bos indicus) bulls through comparative deep metabolomic analysis
The incidence of sub-fertility is higher in crossbred bulls compared to zebu bulls. In the present study, we analysed the metabolomic profile of seminal plasma from crossbred and zebu bulls and uncovered differentially expressed metabolites between these two breeds. Using a high-throughput LC-MS/MS-...
2021-12-22 | MTBLS1642 | MetaboLights
ModelsChowell2022 - Random Forest model to predict efficacy of immune checkpoint blockade across multiple cancer patient cohorts
This is a Random Forest algorithm-based machine learning model called RF16, which incorporates a total of 16 genomic, molecular, demographic, and clinical features to predict the immunotherapy response for a patient. The model assigns a value of 0 for NonResponder and 1 for Responder. Please be awar...
2023-05-09 | BIOMD0000001066 | BioModels
Machine Learning Model FAIR-AIML 
ModelsDiego2021 - Improved Prediction of ICB Efficacy Across Multiple Cancer Types using Random Forests
In this study, the authors had developed a machine learning model to predict immune checkpoint blockade (ICB) response by integrating genomic, molecular, demographic and clinical data from a curated cohort (MSK-IMPACT) with 1479 patients treated with ICB across 16 different types of cancer. This mod...
2024-07-23 | MODEL2407210002 | BioModels
Machine Learning Model 
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