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Farah Haddad is a PhD student in medical signal and image processing at the Faculty of Medicine and Midwifery (FMM) at Lille Catholic University (Lille, France). She received a Master of Science in Biomedical Engineering from the University of Technology of Compiègne (Compiègne, France) in 2014, and another in Signal and Image Processing from Centrale Marseille (Marseille, France) in 2011. From 2018 to 2019, she worked at the FMM as a research engineer on automatic band detection in isoelectric focusing images. Her PhD project will continue the development of the first automatic platform for OCB detection in IEF images of serum, CSF and tear samples, and thus make the diagnosis of multiple sclerosis more reproducible and more precise.
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