Publications

Nora Grieb, Lukas Schmierer, Hyeon Ung Kim, Sarah Strobel, Christian Schulz, Tim Meschke, Anne Sophie Kubasch, Annamaria Brioli, Uwe Platzbecker, Thomas Neumuth, Maximilian Merz, und Alexander Oeser. A digital twin model for evidence-based clinical decision support in multiple myeloma treatment. Frontiers in Digital Health, (5)Frontiers Media SA, Dezember 2023. [PUMA: clinical decision digital evidence-based multiple myeloma support treatment twin] URL

Markus Bauer, Lennart Schneider, Marit Bernhardt, Christoph Augenstein, Glen Kristiansen, und Bogdan Franczyk. An Open-Source Approach for Digital Prostate Cancer Histopathology: Bringing AI into Practice. Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS, 729-738, SciTePress, 2024. [PUMA: AI Cancer Digital Histopatholog Open-Source Prostate]

Anna Niarakis, Reinhard Laubenbacher, Gary An, Yaron Ilan, Jasmin Fisher, Åsmund Flobak, Kristin Reiche, María Rodríguez Martínez, Liesbet Geris, Luiz Ladeira, Lorenzo Veschini, Michael L. Blinov, Francesco Messina, Luis L. Fonseca, Sandra Ferreira, Arnau Montagud, Vincent Noël, Malvina Marku, Eirini Tsirvouli, Marcella Torres, Leonard A. Harris, T.J. Sego, Chase Cockrell, Amanda Shick, Hasan Balci, Albin Salazar, Kinza Rian, Ahmed Abdelmonem Hemedan, Marina Esteban-Medina, Bernard Staumont, Esteban Hernandez-Vargas, Shiny Martis B., Alejandro Madrid-Valiente, Panagiotis Karampelesis, Luis Sordo Vieira, Pradyumna Harlapur, Alexander Kulesza, Niloofar Nikaein, Winston Garira, Rahuman S. Malik Sheriff, Juilee Thakar, Van Du T. Tran, Jose Carbonell-Caballero, Soroush Safaei, Alfonso Valencia, Andrei Zinovyev, und James A. Glazier. Building an international and interdisciplinary community to develop immune digital twins for complex human pathologies. Zenodo, 2024. [PUMA: collaboration community computational digital effort immune interdisciplinary model system twin] URL

Markus Wolfien, Najia Ahmadi, Kai Fitzer, Sophia Grummt, Kilian-Ludwig Heine, Ian-C Jung, Dagmar Krefting, Andreas Kühn, Yuan Peng, Ines Reinecke, Julia Scheel, Tobias Schmidt, Paul Schmücker, Christina Schüttler, Dagmar Waltemath, Michele Zoch, und Martin Sedlmayr. Ten Topics to Get Started in Medical Informatics Research. Journal of Medical Internet Research, (25)JMIR Publications Inc., 24.07.2023. [PUMA: topic_lifescience Algorithms, Clinical Curriculum, Digital FIS_scads Germany, Health Humans, Informatics, Interdisciplinary Medical Research clinical communication, data, digital health health, informatics informatics, interdisciplinary medical research]

Peter Leonard Schrammen, Narmin Ghaffari Laleh, Amelie Echle, Daniel Truhn, Volkmar Schulz, Titus J Brinker, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Alexander Brobeil, Matthias Kloor, Lara R Heij, Dirk Jäger, Christian Trautwein, Heike I Grabsch, Philip Quirke, Nicholas P West, Michael Hoffmeister, und Jakob Nikolas Kather. Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology. J. Pathol., (256)1:50--60, Wiley, Januar 2022. [PUMA: topic_lifescience Lynch artificial cancer; colorectal computational deep digital instability intelligence; learning; microsatellite pathology; syndrome;]

Scarlet Brockmoeller, Amelie Echle, Narmin Ghaffari Laleh, Susanne Eiholm, Marie Louise Malmstrøm, Tine Plato Kuhlmann, Katarina Levic, Heike Irmgard Grabsch, Nicholas P West, Oliver Lester Saldanha, Katerina Kouvidi, Aurora Bono, Lara R Heij, Titus J Brinker, Ismayil Gögenür, Philip Quirke, und Jakob Nikolas Kather. Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer. J. Pathol., (256)3:269--281, Wiley, März 2022. [PUMA: topic_lifescience AI; LNM adipose and artificial biomarker; bowel cancer; colorectal deep digital early inflamed intelligence; learning; metastasis; new pT1 pT2 pathology; prediction predictive tissue;]

Céline N Heinz, Amelie Echle, Sebastian Foersch, Andrey Bychkov, und Jakob Nikolas Kather. The future of artificial intelligence in digital pathology - results of a survey across stakeholder groups. Histopathology, (80)7:1121--1127, Wiley, Juni 2022. [PUMA: topic_lifescience artificial digital intelligence; pathology; survey]

David Nam, Julius Chapiro, Valerie Paradis, Tobias Paul Seraphin, und Jakob Nikolas Kather. Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction. JHEP Rep., (4)4:100443, Elsevier BV, April 2022. [PUMA: topic_lifescience AI, Artificial CNN, Communications DICOM, Diagnosis; Digital HCC, Imaging Individual ML, MVI, Medicine; NAFLD, NASH, Prognosis Reporting TACE, TRIPOD, Transparent WSIs, a and artificial carcinoma; chemoembolisation; convolutional data deep diagnostic disease; fatty for hepatocellular images; imaging; in integration intelligence; invasion; learning; liver machine microvascular model multimodal multivariable network; neural non-alcoholic of or prediction slide steatohepatitis; support system; transarterial whole]