Antonin Lamazière is a professor and hospital practitioner at Sorbonne University's Faculty of Medicine. He heads the Hospital Department of Clinical Metabolomics at Hôpital Saint Antoine (AP-HP.Sorbonne Université).
His research interests lie at the interface between metabolism, nutrition and endocrine and metabolic pathologies. Through his work, he proposes translational approaches based on more fundamental pathophysiological issues, leading to the development of new diagnostic tools for use in healthcare. Recently, he and his team have highlighted the benefits of combining targeted metabolomic approaches with mathematical modeling based on machine learning and AI. The aims are both to map and better understand certain major biochemical pathways, and to envisage new endocrine semiologies to improve patient management and therapeutic follow-up.

With the performance of new devices, mass spectrometry now offers real opportunities in terms of diagnosis and therapeutic follow-up, particularly in the neuro-endocrine field. Through examples of routine clinical developments carried out in our clinical department, this presentation will show how gains in sensitivity and robustness enable us to access new endocrine semiologies with simultaneous assays of endogenous/exogenous steroid profiles in serum or on DBS, assays of somatotropic axis peptides or the use of mathematical models to develop digital medical devices.

This webinar will cover the following:
Circulating steroid profiling improves management of PCOS syndrome
Clinical applications of metabolomics DBS signatures
High sensitivity 7500Qtrap enhances performances of proteomic biomarkers quantitation