Metabolomics
Ambient MS metabolomics. UPLC-MS and MS/MS. Cancer. Cystic Fibrosis. Plankton. Imaging MS.
Medicine in the 21st century is shifting from a reactive to a proactive discipline to provide personalized, predictive, preventive, and participatory (P4) care, not just treating disease, but also maximizing wellness. P4 medicine is propelled by data-driven systems approaches to understand disease, and emerging analytical technologies and tools. It aims at integrating billions of genomic, transcriptomic, proteomic and metabolomics “data points” for each patient to develop predictive multivariate models that can be used to guide personalized patient treatment. This is especially true for complex conditions such as ovarian cancer (OC) which, under the classical classification scheme, may actually encompass several different disease subtypes (endometrioid, serous papillary, mucinous, clear cell, etc.). Hence the proper sub-classification of the disease could be critical to developing a personalized -and perhaps different- treatment strategy for each individual patient.