Publications

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

  • Recording: AI for Medicine and Care (German only)
    The recordings of the conference AI for medicine and care are now available. Please join us to learn about real-world use cases where AI can support medical professionals already today.  
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  • Is there a right to medical treatment with AI? (German Video Footage)
    Join the recording of the litigation about Mr. Merk, who is requesting a combined medical treatment with AI. His oncologists should make use of a specific clinical decision support system building upon artificial intelligence, whereas the hospital fears legal liability for the software system.
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  • Schneller Impfen dank Digitalisierung?
    Digitalisierung beim Impfen soll alles einfacher machen. Doch derzeit bedeutet sie für Ärzt:innen und Bürger:innen Mehraufwand. Ein Standpunkt.
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  • nCoVStats: COVID autumn 2020
    We have prepared just another animation visualizing the latest developments of Coronavirus spread. It shows the fast spread of the virus especially on the northern hemisphere when the summerly weather was over and chilly autumn weather set in. For further details and in-depth analyses, you are invited to use our COVID-19 data analysis tool. COVID-19 worldwide situation ...
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  • What is our #nCoVStats tool? A three minute introduction.
    Learn about our #nCoVStats data analysis tool in a three minute pitch.  
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  • Gather Knowledge in Data Management for Digital Health
    In the past month, the coronavirus pandemic influenced all our lives on a daily basis. At the same time, advances of digital health solution become more and more visible. If you are keen to extend your knowledge about data management for digital health, you should have a look at our lecture “Data Management for Digital ...
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  • nCoVStats: A summer with COVID19
    We have prepared just another animation visualizing the latest developments of Coronavirus spread. It shows  the dramatic worldwide perspective of how fast new hotspots arise, e.g. countries of South America and India. For further details and in-depth analyses, you are invited to use our COVID-19 data analysis tool. COVID-19 worldwide situation from Mar 15 to Oct ...
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  • nCoVStats: A worldwide perspective on six months of COVID19
    We have prepared an animation to visualize the latest development around the Coronavirus spread. It shows  the dramatic worldwide perspective of how vast the amount of infections increases in comparison to the initial hotspot in China. For further details and in-depth analyses, you are invited to use our COVID-19 data analysis tool. COVID-19 worldwide situation from ...
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  • nCoVStats: A worldwide perspective on 4 months of COVID19
    We prepared an animation to visualize the latest coronavirus spread across the globe. It shows for the first time the dramatic worldwide developments once the initial hotspot in China was already isolated. For further details and in-depth analyses, you are invited to use our COVID-19 data analysis tool. COVID-19 worldwide situation from Feb 7 to June ...
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  • nCoVStats: Worldwide Coronavirus Visualization May 15 to June 17, 2020
    We prepared another animation to visualize the latest coronavirus spread across the globe. Bear in mind: it just shows selected days from mid May to mid June 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 15 to June 17, 2020: The situation ...
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