Machine learning

Artificial intelligence (AI) and machine learning are promising innovative approaches for analyzing histology images of tumors due to their ability to recognize intricate patterns and features that might not be easily discernible by human observers. By leveraging these technologies, researchers and clinicians can achieve higher accuracy in tumor identification, classification, and prognosis, leading to more effective and personalized treatment strategies.

Our group is working on AI-based histology image analysis with the focus on identifying different molecular tumor subtypes with clinical implications. Central focus of our current activities is the development and refinement of AI algorithms for diagnostics of Lynch syndrome and prostate cancer.

Together with the Department of General Pathology, Heidelberg University Hospital, our group is part of the Consortial Project Clinic 5.1 coordinated by the Department of Urology, Heidelberg University Hospital. More information on the project is available here.

Prof. Albrecht Stenzinger

Dr. Constantin Schwab

Prof. David Bonekamp

Dr. Magdalena Görtz

Prof. Markus Hohenfellner

Prof. Jakob Nikolas Kather

Engineering Mathematics and Computing Lab (EMCL)

Prof. Dr. Vincent Heuveline, IWR, Heidelberg University

Saskia Haupt, IWR, Heidelberg University

Alexander Zeilmann, IWR, Heidelberg University

https://emcl.iwr.uni-heidelberg.de/research/projects/mathematical-oncology

Møller P, Seppälä T, Dowty JG, Haupt S, Dominguez-Valentin M, Sunde L, Bernstein I, Engel C, Aretz S, Nielsen M, Capella G, Evans DG, Burn J, Holinski-Feder E, Bertario L, Bonanni B, Lindblom A, Levi Z, Macrae F, Winship I, Plazzer JP, Sijmons R, Laghi L, Valle AD, Heinimann K, Half E, Lopez-Koestner F, Alvarez-Valenzuela K, Scott RJ, Katz L, Laish I, Vainer E, Vaccaro CA, Carraro DM, Gluck N, Abu-Freha N, Stakelum A, Kennelly R, Winter D, Rossi BM, Greenblatt M, Bohorquez M, Sheth H, Tibiletti MG, Lino-Silva LS, Horisberger K, Portenkirchner C, Nascimento I, Rossi NT, da Silva LA, Thomas H, Zaránd A, Mecklin JP, Pylvänäinen K, Renkonen-Sinisalo L, Lepisto A, Peltomäki P, Therkildsen C, Lindberg LJ, Thorlacius-Ussing O, von Knebel Doeberitz M, Loeffler M, Rahner N, Steinke-Lange V, Schmiegel W, Vangala D, Perne C, Hüneburg R, de Vargas AF, Latchford A, Gerdes AM, Backman AS, Guillén-Ponce C, Snyder C, Lautrup CK, Amor D, Palmero E, Stoffel E, Duijkers F, Hall MJ, Hampel H, Williams H, Okkels H, Lubiński J, Reece J, Ngeow J, Guillem JG, Arnold J, Wadt K, Monahan K, Senter L, Rasmussen LJ, van Hest LP, Ricciardiello L, Kohonen-Corish MRJ, Ligtenberg MJL, Southey M, Aronson M, Zahary MN, Samadder NJ, Poplawski N, Hoogerbrugge N, Morrison PJ, James P, Lee G, Chen-Shtoyerman R, Ankathil R, Pai R, Ward R, Parry S, Dębniak T, John T, van Overeem Hansen T, Caldés T, Yamaguchi T, Barca-Tierno V, Garre P, Cavestro GM, Weitz J, Redler S, Büttner R, Heuveline V, Hopper JL, Win AK, Lindor N, Gallinger S, Le Marchand L, Newcomb PA, Figueiredo J, Buchanan DD, Thibodeau SN, Ten Broeke SW, Hovig E, Nakken S, Pineda M, Dueñas N, Brunet J, Green K, Lalloo F, Newton K, Crosbie EJ, Mints M, Tjandra D, Neffa F, Esperon P, Kariv R, Rosner G, Pavicic WH, Kalfayan P, Torrezan GT, Bassaneze T, Martin C, Moslein G, Ahadova A, Kloor M, Sampson JR, Jenkins MA; European Hereditary Tumour Group (EHTG) and the International Mismatch Repair Consortium (IMRC).Colorectal cancer incidences in Lynch syndrome: a comparison of results from the prospective lynch syndrome database and the international mismatch repair consortium. Hered Cancer Clin Pract. 2022 Oct 1;20(1):36. PMID: 36182917

S. Haupt, N. Gleim, A. Ahadova, H. Bläker, M. Knebel Doeberitz, M. Kloor, V. Heuveline: A computational model for investigating the evolution of colonic crypts during Lynch syndrome carcinogenesis. Computational and Systems Oncology, June 2021.

Haupt S, Zeilmann A, Ahadova A, Bläker H, von Knebel Doeberitz M, Kloor M, Heuveline V. Mathematical modeling of multiple pathways in colorectal carcinogenesis using dynamical systems with Kronecker structure. PLoS Comput Biol. 2021 May 18;17(5):e1008970. PMID: 34003820

Ballhausen A, Przybilla MJ, Jendrusch M, Haupt S, Pfaffendorf E, Seidler F, Witt J, Hernandez Sanchez A, Urban K, Draxlbauer M, Krausert S, Ahadova A, Kalteis MS, Pfuderer PL, Heid D, Stichel D, Gebert J, Bonsack M, Schott S, Bläker H, Seppälä T, Mecklin JP, Ten Broeke S, Nielsen M, Heuveline V, Krzykalla J, Benner A, Riemer AB, von Knebel Doeberitz M, Kloor M.The shared frameshift mutation landscape of microsatellite-unstable cancers suggests immunoediting during tumor evolution. Nat Commun. 2020 Sep 21;11(1):4740. PMID: 32958755 

Bläker H, Haupt S, Morak M, Holinski-Feder E, Arnold A, Horst D, Sieber-Frank J, Seidler F, von Winterfeld M, Alwers E, Chang-Claude J, Brenner H, Roth W, Engel C, Löffler M, Möslein G, Schackert HK, Weitz J, Perne C, Aretz S, Hüneburg R, Schmiegel W, Vangala D, Rahner N, Steinke-Lange V, Heuveline V, von Knebel Doeberitz M, Ahadova A, Hoffmeister M, Kloor M; German Consortium for Familial Intestinal Cancer. Age-dependent performance of BRAF mutation testing in Lynch syndrome diagnostics. Int J Cancer. 2020 Nov 15;147(10):2801-2810. PMID: 32875553 

Involved researchers

Prof. Dr. med. Matthias Kloor
Prof. Dr. med. Matthias Kloor
Dr. Aysel Ahadova
Dr. Aysel Ahadova
Christian Kobrow
Christian Kobrow
Mozzam Motiwala
Mozzam Motiwala