Immune digital twins for complex human pathologies: applications, limitations, and challenges. npj Systems Biology and Applications, (10)1Springer Science and Business Media LLC, November 2024. [PUMA: twins pathologies Immune challenges human limitations digital] URL
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: Histopatholog Cancer Digital AI Prostate Open-Source]
A digital twin model for evidence-based clinical decision support in multiple myeloma treatment. Frontiers in Digital Health, (5)Frontiers Media SA, December 2023. [PUMA: twin clinical decision multiple myeloma evidence-based support treatment digital] URL
Ten Topics to Get Started in Medical Informatics Research. Journal of Medical Internet Research, (25)JMIR Publications Inc., Jul 24, 2023. [PUMA: FIS_scads Health medical health, Digital Germany, Clinical Research informatics Interdisciplinary Informatics, health data, digital interdisciplinary research Humans, clinical informatics, topic_lifescience Algorithms, communication, Medical Curriculum,]
The future of artificial intelligence in digital pathology - results of a survey across stakeholder groups. Histopathology, (80)7:1121--1127, Wiley, June 2022. [PUMA: artificial intelligence; pathology; topic_lifescience survey digital]
Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction. JHEP Rep., (4)4:100443, Elsevier BV, April 2022. [PUMA: a disease; HCC, or intelligence; liver multivariable non-alcoholic multimodal ML, artificial WSIs, images; prediction support integration TACE, DICOM, AI, network; deep neural Digital Diagnosis; MVI, transarterial fatty topic_lifescience microvascular convolutional in learning; imaging; Communications invasion; NAFLD, chemoembolisation; hepatocellular Reporting steatohepatitis; Transparent Individual slide machine Prognosis Artificial data for NASH, whole Medicine; TRIPOD, of CNN, and Imaging carcinoma; diagnostic system; model]
Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer. J. Pathol., (256)3:269--281, Wiley, March 2022. [PUMA: metastasis; inflamed intelligence; deep learning; bowel predictive LNM adipose pT2 pT1 digital biomarker; cancer; artificial AI; pathology; colorectal and topic_lifescience prediction new tissue; early]
Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology. J. Pathol., (256)1:50--60, Wiley, January 2022. [PUMA: Lynch intelligence; deep learning; digital instability cancer; artificial syndrome; pathology; colorectal topic_lifescience microsatellite computational]