The ability to visualize the full depth of the serum proteome in a high-throughput manner is a major goal of clinical proteomics. Methodologies, which combine higher throughput with the ability to observe differential protein expression levels, have been applied to this goal. An example of such a system is the coupling of robotic sample processing to matrix-assisted laser desorption time of flight mass spectrometry (MALDI-TOF-MS). Within this paradigm is a modification of MALDI-TOF termed surface-enhanced laser desorption/ionization-TOF (SELDI-TOF). Both conventional MALDI and SELDI have been used to generate protein expression profiles reflective of potential peptide changes in serum. This information can be used to identify proteins, which may enable new diagnostic and therapeutic strategies.