Mathematical modelling of acute leukemia

Machine learning and complex data analysis of immunophenotyping data in multiple sclerosis

Univ.-Prof. Dr. med. Luisa Klotz

Beteiligte Wissenschaftlerin:
Dipl.-Stat. M. Eveslage

Immune signatures of prodromal multiple sclerosis in monozygotic twins
Lisa Ann Gerdes, Claudia Janoschka, Maria Eveslage, Bianca Mannig, Timo Wirth, Andreas Schulte-Mecklenbeck, Sarah Lauks, Laura Glau, Catharina C. Gross, Eva Tolosa, Andrea Flierl-Hecht, Birgit Ertl-Wagner, Frederik Barkhof, Sven G. Meuth, Tania Kümpfel, Heinz Wiendl, Reinhard Hohlfeld, Luisa Klotz
Proceedings of the National Academy of Sciences Sep 2020, 117 (35) 21546-21556; DOI: 10.1073/pnas.2003339117

Gerdes LA, Janoschka C, Mannig B, Schulte-Mecklenbeck A, Gross CC, Eveslage M, Kumpfel T, Wiendl H, Hohlfeld R, Klotz L (2018)
Deep immune-profiling of monozygotic twins discordant for multiple sclerosis indicates that genetic identity overrides disease-specific immune features
34th Congress of the European Committee for Treatment and Research in Multiple Sclerosis, Berlin, Deutschland
Multiple Sclerosis Journal, 24, Supplement 2, 92-93, Meeting Abstract: 236