Metabolomics

Dataset Information

0

Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer

ABSTRACT:

ORGANISM(S): Homo Sapiens

TISSUE(S): Blood

DISEASE(S): Cancer

PROVIDER: ST002235 | MetabolomicsWorkbench |

REPOSITORIES: MetabolomicsWorkbench

Json Xml

Dataset's files

Source:
Action DRS
mwtab Other
Items per page:
1 - 1 of 1

Similar Datasets

Unknown Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer.
| S-EPMC9403735 | biostudies-literature
Unknown Plasma metabolomics profiles and breast cancer risk.
| S-EPMC11463119 | biostudies-literature
Unknown NMR-Based Metabolomics Analysis Predicts Response to Neoadjuvant Chemotherapy for Triple-Negative Breast Cancer.
| S-EPMC8592909 | biostudies-literature
Unknown Metabolomics and triple-negative breast cancer: A systematic review.
| S-EPMC10770474 | biostudies-literature
Unknown Comprehensive metabolomics expands precision medicine for triple-negative breast cancer.
| S-EPMC9061756 | biostudies-literature
Unknown Neoadjuvant therapy in operable breast cancer: application to triple negative breast cancer.
| S-EPMC3747378 | biostudies-literature
Unknown Exosomal miRNA profiles of triple-negative breast cancer in neoadjuvant treatment.
| S-EPMC8503811 | biostudies-literature
Unknown Plasma CAMK2A predicts chemotherapy resistance in metastatic triple negative breast cancer.
| S-EPMC6958019 | biostudies-literature
Unknown Characterization of triple negative breast cancer gene expression profiles in Mexican patients.
| S-EPMC9808158 | biostudies-literature
Unknown Triple-negative breast cancer.
| S-EPMC2972557 | biostudies-literature