Sort   by:  
 Page size 
UnknownCurrent Management of Small Renal Masses, Including Patient Selection, Renal Tumor Biopsy, Active Surveillance, and Thermal Ablation.
Not available
S-EPMC6804853 | biostudies-literature
UnknownBody Mass Index and Metastatic Renal Cell Carcinoma: Clinical and Biological Correlations.
Not available
S-EPMC5065111 | biostudies-literature
UnknownSample Site Impacts RNA Biomarkers for Renal Cell Carcinoma.
Not available
S-EPMC11646181 | biostudies-literature
UnknownCurrent Landscape of Genomic Biomarkers in Clear Cell Renal Cell Carcinoma.
Not available
S-EPMC11175840 | biostudies-literature
UnknownThe association between modifiable perioperative parameters and renal function after nephrectomy.
Not available
S-EPMC9088019 | biostudies-literature
UnknownImpact of intraoperative opioid and adjunct analgesic use on renal cell carcinoma recurrence: role for onco-anaesthesia.
Not available
S-EPMC7844372 | biostudies-literature
UnknownGenomic and Metabolic Hallmarks of SDH- and FH-deficient Renal Cell Carcinomas.
Not available
S-EPMC9464266 | biostudies-literature
UnknownPhase II Study of Neoadjuvant Nivolumab in Patients with Locally Advanced Clear Cell Renal Cell Carcinoma Undergoing Nephrectomy.
Not available
S-EPMC9156541 | biostudies-literature
ProteomicsCPTAC CCRCC Discovery Study - DIA Proteome
This is a supplementary study to the CPTAC CCRCC Discovery Study - Proteome. Unlabeled, digested peptide material from individual tissue samples (ccRCC and NAT) was spiked with index Retention Time (iRT) peptides (Biognosys) and subjected to data-independent acquisition (DIA) analysis. Kidney cance...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2023-10-04 | MSV000093041 | MassIVE
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 
Sort   by:  
 Page size