High-throughput proteomic profiling has become a pivotal tool in identifying potential biomarkers for various diseases. This article reviews recent advancements in proteomic technologies and their application in biomarker discovery. We discuss the challenges associated with data analysis and integration and explore strategies to enhance the sensitivity and specificity of biomarker identification. By harnessing the power of mass spectrometry, machine learning, and bioinformatics, researchers are making significant strides towards revolutionizing disease diagnosis and personalized treatment strategies.
HTML PDFShare this article
Journal of Bioanalysis & Biomedicine received 3099 citations as per Google Scholar report
