Manuel Aivado
Papers
2
Total Citations
50
H-Index
2
About
Manuel Aivado is a leading figure in the field of clinical proteomics, whose work has been instrumental in advancing the use of mass spectrometry for disease diagnosis. His primary research focuses on the optimization and automation of Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF MS), a powerful technique for discovering protein-based biomarkers. Aivado’s major contribution lies in refining this technology to ensure its reliability and reproducibility for clinical applications. His most cited work, a 2005 study with 48 citations, provides a critical framework for using SELDI-TOF MS with reversed-phase protein arrays to profile serum proteins, a method that holds immense promise for creating powerful new diagnostic tools. He further extended this impact by developing robot-pipelined automation for the process, addressing the need for high-throughput, reproducible analysis in the face of ever-growing proteomic datasets. Through these efforts, Aivado has helped bridge the gap between complex proteomic data and practical, clinical diagnostics, laying essential groundwork for the future of personalized medicine.
Research Focus
Key Achievements
Top Papers
- 1
- 2Analysis and robot pipelined automation for SELDI-TOF mass spectrometry2 citations · 2005