Integration of mathematical model predictions into routine workflows to support clinical decision making in haematology. - Katja Hoffmann; Katja Cazemier; Christoph Baldow; Silvio Schuster; Yuri Kheifetz; Sibylle Schirm; Matthias Horn; Thomas Ernst 006; Constanze Volgmann; Christian Thiede; Andreas Hochhaus; Martin Bornhäuser; et al. (BMC Medical Informatics Decis. Mak., 2020)

Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence. - Jan-Niklas Eckardt; Waldemar Hahn; Christoph Röllig; Sebastian Stasik; Uwe Platzbecker; Carsten Müller-Tidow; Hubert Serve; Claudia D. Baldus; Christoph Schliemann; Kerstin Schäfer-Eckart; Maher Hanoun; Martin Kaufmann; et al. (npj Digit. Medicine, 2024)

Ten simple rules for designing graphical abstracts. - Helena Klara Jambor; Martin Bornhäuser (PLoS Comput. Biol., 2024)

Communicating cancer treatment with pictogram-based timeline visualizations. - Helena Klara Jambor; Julian Ketges; Anna Lea Otto; Malte Von Bonin; Karolin Trautmann-Grill; Raphael Teipel; Jan Moritz Middeke; Maria Uhlig; Martin Eichler; Sebastian Pannasch; Martin Bornhäuser (J. Am. Medical Informatics Assoc., 2025)

Synthetic bone marrow images augment real samples in developing acute myeloid leukemia microscopy classification models. - Jan-Niklas Eckardt; Ishan Srivastava; Zizhe Wang; Susann Winter; Tim Schmittmann; Sebastian Riechert; Miriam Eva Helena Gediga; Anas Shekh Sulaiman; Martin M. K. Schneider; Freya Schulze; Christian Thiede; Katja Sockel; et al. (npj Digit. Medicine, 2025)