Machine learning has also become central to biomarker discovery from proteomics data, which is now beginning to outperform the best existing assays. Finally, we discuss model transparency and explainability as well as data privacy that are necessary for the deployment of MS-based biomarkers in clinical settings. Keywords: Bioinformatics data according to FAIR principles. TLDR. Proteomic and genomic sciences have been used for differential analysis of breast cancer to find molecular changes of cancer for detection of candidate biomarkers and promise to be useful in identifying novel markers that improve screening, early diagnosis , prognosis and prediction of therapeutic response or toxicity. Better biomarkers are urgently needed to improve diagnosis, guide molecular targeted therapy, and monitor therapeutic activity and response across a broad spectrum of diseases. Proteomic methods. This review covers applications of proteomics from biomarker discovery to characterization of molecular mechanisms through technological advances. Additionally, it discusses global trends in proteomics approaches for translational research. As a core method of translational research, the pursuit of Proteomics in the discovery of biomarkers for tuberculosis: current status and future prospects. Jiubiao, Xinchun and Yi believe this technology will contribute to the discovery of new aspects of protein and cell biology in the future. Diagnostic application of proteomic biomarkers for. Application of Proteomics to Biomarker Discovery A biomarker generally refers to disease-related proteins or a biochemical indicator that can be used clinically to diagnose or monitor disease activity, prognosis, and development of the disease. disease, and also to guide the treatment of the molecular target. or assessment of therapeutic response, 3. Proteomics involves the applications of technologies for the identification and quantification of the overall content of proteins present in a cell, tissue or organism. It complements other "omics" technologies such as genomics and transcriptomics to explain the identity of an organism's proteins and know the structure and,