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Biomarker Identification Articles & Analysis
12 articles found
High-throughput screening allows for the rapid assessment of thousands of compounds against resistant cell lines, facilitating the identification of potential new therapies. In addition, advanced techniques such as CRISPR-based gene editing enable researchers to dissect the molecular mechanisms of resistance. ...
These enhanced diagnostic tools not only facilitate timely interventions but also enable the identification of specific biomarkers that inform personalized treatment plans aimed at optimizing patient outcomes. ...
By analyzing these interactions, scientists can identify new biomarkers for disease, develop targeted therapies, or discover novel glycan-binding proteins with potential applications in drug design. 2. ...
By analyzing the levels of cytokines before and after treatment, researchers can gain insight into the effectiveness of cancer therapies and the potential for immunotherapy. Identification of biomarkers Luminex technology is also being used to identify new biomarkers for cancer. ...
By analyzing the levels of cytokines before and after treatment, researchers can gain insight into the effectiveness of cancer therapies and the potential for immunotherapy. Identification of biomarkers Luminex technology is also being used to identify new biomarkers for cancer. ...
Depending on the focus of the study, lipidomics can be applied to the following pharmaceutical research. Identification of disease biomarkers The most fundamental application of lipidomics in pharmaceutical research is the identification of lipid biomarkers that are associated with lesions in organisms or are expressed ...
One of the significant advantages of scRNA-seq in drug discovery is its impact on target identification. By allowing researchers to dissect complex tissues and diseases at the cellular level, scRNA-seq enables the identification of distinct cell subtypes and their gene expression profiles. ...
Applications of DGE Analysis Disease Biomarker Discovery: Identification of DEGs between healthy and diseased tissues unveils potential diagnostic or prognostic biomarkers. These biomarkers aid in disease classification, patient stratification, and the development of targeted therapies, paving the way for precision medicine. ...
Although TMB shows potential as a biomarker for immunotherapy in solid tumors, consensus on the optimal TMB threshold for specific tumor types remains elusive. ...
Differential expression analysis Differential gene expression (DGE) analysis is a key part of the analysis of small RNA data, which helps predict targets and find biomarkers.There are several good tools for this purpose (Table 3), but the optimal tool is highly dependent on the specific dataset. Biomarker identification and target prediction ...
Maintaining the integrity of biomarkers during their processing and storage is therefore of critical importance to accurately diagnose and give prognosis of many different diseases, including cancers. To safely store samples for research or clinical use, freezing procedures are used to arrest the degradation of biomarkers used for the ...
Publication Summary: The identification of targets and biomarkers and development of therapeutics for nonalcoholic fatty liver disease (NAFLD) may be accelerated by the use of well-characterized primary cell and tissue reagents, as well as improved in vitro human cell-based disease models, including three-dimensional (3D) bioprinted liver tissue. ...