Presentation Slides
Selected Publications
In the following, you can find selected research publications related to our activities applying in-memory technology for life sciences research areas.
Research Publications
- Schapranow, M.-P.: NephroCAGE: Wie Künstliche Intelligenz bei Nierenversagen unterstützen kann. Gesundhyte: Forschung neu vernetzen. 15, 100—102 (2023).
- Schapranow, M.-P., Bayat, M., Rasheed, A., Naik, M., Graf, V., Schmidt, D., Budde, K., Cardinal, H., Sapir-Pichhadze, R., Fenninger, F., Sherwood, K., Keown, P., Günther, O., Pandl, K., Leiser, F., Thiebes, S., Sunyaev, A., Niemann, M., Schimanski, A., Klein, T.: NephroCAGE—German-Canadian Consortium on AI for Improved Kidney Transplantation Outcome: Protocol for an Algorithm Development and Validation Study. JMIR Res Protoc 2023. 12, (2023).
- Fox, S., Preiß, M., Borchert, F., Rasheed, A., Schapranow, M.-P.: HPIDHC at NTCIR-17 MedNLP-SC: Data Augmentation and Ensemble Learning for Multilingual Adverse Drug Event Detection. NTCIR 17 Conference: Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies. bll. 185–192. , Tokyo, Japan (2023).
- Borchert, F., Llorca, I., Schapranow, M.-P.: HPI-DHC @ BC8 SympTEMIST Track: Detection and Normalization of Symptom Mentions with SpanMarker and xMEN. In: Islamaj, R., Arighi, C., Campbell, I., Gonzalez-Hernandez, G., Hirschman, L., Krallinger, M., Lima-López, S., Weissenbacher, D., en Lu, Z. (reds.) Proceedings of the BioCreative VIII Challenge and Workshop: Curation and Evaluation in the era of Generative Models. , New Orleans, LA (2023).
- Borchert, F., Llorca, I., Roller, R., Arnrich, B., Schapranow, M.-P.: xMEN: A Modular Toolkit for Cross-Lingual Medical Entity Normalization. arXiv preprint arXiv:2310.11275. (2023).
- Schapranow, M.-P.: Lernende Laborsysteme: Wie kann künstliche Intelligenz im Labor unterstützen?. In: Raem, A.M. en Rauch, P. (reds.) Immunoassays: ergänzende Methoden, Troubleshooting, regulatorische Anforderungen. bll. 755–775. Springer Berlin Heidelberg, Berlin, Heidelberg (2023).
- Borchert, F., Llorca, I., Schapranow, M.-P.: Cross-Lingual Candidate Retrieval and Re-ranking for Biomedical Entity Linking. In: Arampatzis, A., Kanoulas, E., Tsikrika, T., Vrochidis, S., Giachanou, A., Li, D., Aliannejadi, M., Vlachos, M., Faggioli, G., en Ferro, N. (reds.) Experimental IR Meets Multilinguality, Multimodality, and Interaction. bll. 135–147. Springer Nature Switzerland, Cham (2023).
- Llorca, I., Borchert, F., Schapranow, M.-P.: A Meta-dataset of German Medical Corpora: Harmonization of Annotations and Cross-corpus NER Evaluation. Proceedings of the 5th Clinical Natural Language Processing Workshop. bll. 171–181. Association for Computational Linguistics, Toronto, Canada (2023).
- Kämmer, N., and Borchert, F., and Winkler, S., and de Melo, G., and Schapranow, M.-P.: Resolving Elliptical Compounds in German Medical Text. The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks. bll. 292–305. Association for Computational Linguistics, Toronto, Canada (2023).
- Steinwand, S., Borchert, F., Winkler, S., Schapranow, M.-P.: GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text. In: Juarez, J.M., Marcos, M., Stiglic, G., en Tucker, A. (reds.) Artificial Intelligence in Medicine. bll. 183–192. Springer Nature Switzerland, Cham (2023).
- Schapranow, M.-P., Borchert, F., Bougatf, N., Hund, H., Eils, R.: Software-Tool Support for Collaborative, Virtual, Multi-Site Molecular Tumor Boards. SN Computer Science. 4, 358 (2023).
Further Publications
- nCoVStats: Worldwide Coronavirus Visualization May 2 to May 29, 2020We prepared another animation to visualize the latest coronavirus spread across the globe. Bear in mind: it just shows selected days of May 2020. For further details and in-depth analyses, please do not hesitate to try our COVID-19 data analysis tool. COVID-19 worldwide situation from May 2 to May 29, 2020: The situation in May 2020: The ...Read more...
- nCoVStats: Worldwide Coronavirus Visualization Apr 5 to Apr 17, 2020We prepared another animation to visualize the dramatic coronavirus spread. Bear in mind: it shows just a ten days timeframe from early April to mid of April. For further analyses, please refer to our COVID-19 data analysis tool. COVID-19 worldwide situation from Apr 5 to Apr 17, 2020: The situation in early April 2020: Former hotspots in ...Read more...
- nCoVStats: Worldwide Coronavirus Visualization Mar 15 to Mar 30, 2020We prepared another animation to visualize the dramatic coronavirus spread. Bear in mind: it shows just a two-weeks timeframe from mid March to end of March. For further analyses, please refer to our COVID-19 data analysis tool. COVID-19 worldwide situation from Mar 15 to Mar 30, 2020: Mid of Mar 2020, the world had a closer look ...Read more...
- Worldwide COVID-19 pandemic visualization (Feb vs. Mar 2020)By the March 11, 2020, the worldwide spread of COVID-19 (formerly known as 2019-ncov) was referenced as a pandemic situation by WHO. The following animated GIFs visualize the impact of the latest developments. In the following, we compare two selected two-week timeframes in correspondence to the incubation period of COVID-19. For further analyses, please refer ...Read more...
- Better Diagnoses and TherapiesLearn more about it in the real-world use case oncology just published in the German article “Für bessere Diagnosen und Therapien: Wie Ärzte und KI in der Krebsbehandlung zusammenarbeiten”.Read more...
- Slides of the 2019 Bio Data World congress availableThe slide deck of the 2019 Bio Data World Congress is now online available.Read more...
- Slides of the 2019 Clinical Trials Conference availableThe slide deck of the 2019 Clinical Trials Conference is now online available. https://www.slideshare.net/schappy/how-will-ai-affect-the-patient-journey-of-the-futureRead more...
- Slides of MedTech Summit availableThe slide deck of the 2019 MedTech Summit is now online available.Read more...
- Science Slam „Life Sciences on Stage“
- Medizin der Zukunft: Wo geht die Reise hin?“Es geht nicht darum, Ärzte zu ersetzen, so Dr. Schapranow. Es geht darum, ihnen geeignete Werkzeuge an die Hand zu geben. Die Steuerzentrale muss der Patient sein und nicht der Medizinbetrieb.” Weiterlesen…Read more...