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  English.dicp.cas.cn    Posted:2018-09-18
Lecture: Application of NMR Based Metabolomics to Enhance Diagnosis/prognosis of Different Pathologies

Time: Sep. 18th, 2017, 09:00 am
Venue: Conference Room, Biotechnology Building
Lecturer: Prof. Philippe SAVARIN, Chemistry Structures Properties of Biomaterials and Therapeutic Agents laboratory, French National Center for Scientific Research (CNRS) 7244, Paris 13 University


Professor Philippe Savarin received an Engineer diploma from the Centrale school of the University of Lille (1997), a Master's degree in physical and chemical analysis (1997) and PhD (2001) in Spectroscopy from the Centrale School of Paris.

After Post-doctoral research in the Orsay University (LEBS), he worked as associate professor at the Evry University in 2002. Since 2012, he become professor at the Paris 13 University. Between 2014 and 2016, he has been worked as assistant Director of the Chemistry Structures Properties of Biomaterials and Therapeutic Agents laboratory (CSPBAT laboratory) at the Paris 13 University and become Director after 2016. He has published more than 45 articles in International Peer Reviewed Journals.

Outcomes for patients suffering from diseases are often difficult to predict. In order to accurately determine patient prognoses and to adapt therapeutic procedures to each patient’s situation, different solutions are proposed: Interpretation of novel data from clinical or biological tests, identification of novel biomarkers or determination of novel methods for processing of data. Furthermore, it is more informative to correlate biomarker levels with clinical events and to analyze its variation during follow-up than to have a single measurement of a given compound in a biological fluid. Metabolomic approaches necessitate a translational bridge between clinical and basic research. Our results, particularly using NMR data, show how NMR can be useful in several cases to enhance diagnosis or prognosis of different pathologies.

Contact: Prof. Guowang Xu Group 1808
Phone: 84379530



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