Explanipedia

High-precision information retrieval for rapid clinical guideline updates Open

Florian Borchert, Paul Wullenweber, Annika Oeser, Nina Kreuzberger, Torsten Karge , et al. · 2025

xMEN: a modular toolkit for cross-lingual medical entity normalization Open

Florian Borchert, Ignacio Llorca, Roland Roller, Bert Arnrich, Matthieu-P. Schapranow · 2024

Objective To improve performance of medical entity normalization across many languages, especially when fewer language resources are available compared to English. Materials and Methods We propose xMEN, a modular system for cross-lingual (…

Next Generation Evidence: High-Precision Information Retrieval for Rapid Clinical Guideline Updates Open

Florian Borchert, Paul Wullenweber, Annika Oeser, Nina Kreuzberger, Torsten Karge , et al. · 2024

Delays in translating new medical evidence into clinical practice hinder patient access to the best available treatments. Our data reveals an average delay of nine years from the initiation of human research to its adoption in clinical gui…

Improving biomedical entity linking for complex entity mentions with LLM-based text simplification Open

Florian Borchert, Ignacio Llorca, Matthieu-P. Schapranow · 2024

Large amounts of important medical information are captured in free-text documents in biomedical research and within healthcare systems, which can be made accessible through natural language processing (NLP). A key component in most biomed…

NephroCAGE—German-Canadian Consortium on AI for Improved Kidney Transplantation Outcome: Protocol for an Algorithm Development and Validation Study Open

Matthieu-P. Schapranow, Mozhgan Bayat, Aadil Rasheed, Marcel G. Naik, Verena Graf , et al. · 2023

Background Recent advances in hardware and software enabled the use of artificial intelligence (AI) algorithms for analysis of complex data in a wide range of daily-life use cases. We aim to explore the benefits of applying AI to a specifi…

xMEN: A Modular Toolkit for Cross-Lingual Medical Entity Normalization Open

Florian Borchert, Ignacio Llorca, Roland Roller, Bert Arnrich, Matthieu-P. Schapranow · 2023

Objective: To improve performance of medical entity normalization across many languages, especially when fewer language resources are available compared to English. Materials and Methods: We introduce xMEN, a modular system for cross-lingu…

Software-Tool Support for Collaborative, Virtual, Multi-Site Molecular Tumor Boards Open

Matthieu-P. Schapranow, Florian Borchert, Nina Bougatf, Hauke Hund, Roland Eils · 2023

The availability of high-throughput molecular diagnostics builds the foundation for Molecular Tumor Boards (MTBs). Although more fine-grained data is expected to support decision making of oncologists, assessment of data is complex and tim…

Disease- and sex-specific differences in patients with heart valve disease: a proteome study Open

Sarah Nordmeyer, Milena Kraus, Matthias Ziehm, Marieluise Kirchner, Marie Schafstedde , et al. · 2023

Pressure overload in patients with aortic valve stenosis and volume overload in mitral valve regurgitation trigger specific forms of cardiac remodeling; however, little is known about similarities and differences in myocardial proteome reg…

Resolving Elliptical Compounds in German Medical Text Open

Niklas Kammer, Florian Borchert, Silvia Winkler, Gerard de Melo, Matthieu-P. Schapranow · 2023

Elliptical coordinated compound noun phrases (ECCNPs), a special kind of coordination ellipsis, are a common phenomenon in German medical texts. As their presence is known to affect the performance in downstream tasks such as entity extrac…

A Meta-dataset of German Medical Corpora: Harmonization of Annotations and Cross-corpus NER Evaluation Open

Ignacio Llorca, Florian Borchert, Matthieu-P. Schapranow · 2023

Over the last years, an increasing number of publicly available, semantically annotated medical corpora have been released for the German language. While their annotations cover comparable semantic classes, the synergies of such efforts ha…

Knowledge bases and software support for variant interpretation in precision oncology Open

Florian Borchert, Andreas Möck, Aurelie Tomczak, Jonas Hügel, Samer Alkarkoukly , et al. · 2021

Knowledge bases and software support for variant interpretation in precision oncology Open

Florian Borchert, Andreas Möck, Aurelie Tomczak, Jonas Hügel, Samer Alkarkoukly , et al. · 2021

Precision oncology is a rapidly evolving interdisciplinary medical specialty. Comprehensive cancer panels are becoming increasingly available at pathology departments worldwide, creating the urgent need for scalable cancer variant annotati…

Controversial Trials First: Identifying Disagreement Between Clinical Guidelines and New Evidence. Open

Florian Borchert, Laura Meister, Thomas Langer, Markus Follmann, Bert Arnrich , et al. · 2021

Clinical guidelines integrate latest evidence to support clinical decision-making. As new research findings are published at an increasing rate, it would be helpful to detect when such results disagree with current guideline recommendation…

GGPONC: A Corpus of German Medical Text with Rich Metadata Based on\n Clinical Practice Guidelines Open

Florian Borchert, Christina Lohr, Luise Modersohn, Thomas Langer, Markus Follmann , et al. · 2020

The lack of publicly accessible text corpora is a major obstacle for progress\nin natural language processing. For medical applications, unfortunately, all\nlanguage communities other than English are low-resourced. In this work, we\nprese…

Biomedical and Clinical Research Data Management Open

Matthias Ganzinger, Enrico Glaab, Jules N. A. Kerssemakers, Sven Nahnsen, Ulrich Sax , et al. · 2020

FNR11651464 > Enrico Glaab > PD-Strat > Multi-dimensional stratification of Parkinson’s disease patients for personalised interventions > 01/07/2018 > 30/06/2021 > 2018

GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines Open

Florian Borchert, Christina Lohr, Luise Modersohn, Thomas Langer, Markus Follmann , et al. · 2020

The lack of publicly accessible text corpora is a major obstacle for progress in natural language processing. For medical applications, unfortunately, all language communities other than English are low-resourced. In this work, we present …

Portal Wissen = Gesundheit Open

Silke Engel, Antje Horn-Conrad, J. M. SCHOLZ, Heike Kampe, Matthieu-P. Schapranow , et al. · 2020

Wie stark Gesundheit und Wohlbefinden unser Leben bestimmen, hat uns die Corona-Pandemie eindringlich vor Augen geführt. Und dass die Wissenschaft in diesem Kontext den Takt vorgibt, war nicht zu überhören. Auch an der Universität Potsdam …

An Information and Communication Platform Supporting Analytics for Elderly Care Open

Orhan Konak, Harry Freitas da Cruz, Marvin Thiele, David Golla, Matthieu-P. Schapranow · 2019

Prediction of Acute Kidney Injury in Cardiac Surgery Patients: Interpretation using Local Interpretable Model-agnostic Explanations Open

Harry Freitas da Cruz, Frédéric Schneider, Matthieu-P. Schapranow · 2019

Preface Open

Ma Bin, Sanguthevar Rajasekaran, Jun Huan, Miyano Satoru, Amarda Shehu , et al. · 2015

Welcome to the 2015 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015) being held in the metro Washington DC area, USA, from November 9–12, 2015. On behalf of the IEEE BIBM 2015 Organizing Team, we would like …

Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa Open

Cindy Fähnrich, Kerstin Denecke, Olawunmi Adeoye, Justus Benzler, H. Claus , et al. · 2015

Binary file ES_Abstracts_Final_ECDC.txt matches

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