Raphael Scheible

ORCID: 0000-0003-2067-5569
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About
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Research Areas
  • Immunodeficiency and Autoimmune Disorders
  • Biomedical Text Mining and Ontologies
  • Blood disorders and treatments
  • Tracheal and airway disorders
  • Cystic Fibrosis Research Advances
  • Natural Language Processing Techniques
  • Mobile Health and mHealth Applications
  • Scientific Computing and Data Management
  • Platelet Disorders and Treatments
  • Telemedicine and Telehealth Implementation
  • Chronic Lymphocytic Leukemia Research
  • Social Media in Health Education
  • Computer Graphics and Visualization Techniques
  • Health Literacy and Information Accessibility
  • Data Mining Algorithms and Applications
  • Persona Design and Applications
  • Semantic Web and Ontologies
  • Advanced Vision and Imaging
  • Multimedia Communication and Technology
  • Distributed and Parallel Computing Systems
  • Electronic Health Records Systems
  • Pancreatic and Hepatic Oncology Research
  • Genomics and Rare Diseases
  • Advanced Data Storage Technologies
  • Clinical practice guidelines implementation

Technical University of Munich
2022-2024

University of Freiburg
2018-2024

Klinikum rechts der Isar
2022-2024

Artificial Intelligence in Medicine (Canada)
2024

Institute of Art
2024

University Medical Center Freiburg
2018-2023

Activated Phosphoinositide 3-kinase (PI3K) δ Syndrome (APDS), caused by autosomal dominant mutations in PIK3CD (APDS1) or PIK3R1 (APDS2), is a heterogeneous primary immunodeficiency. While initial cohort-descriptions summarized the spectrum of clinical and immunological manifestations, questions about long-term disease evolution response to therapy remain. The prospective European Society for Immunodeficiencies (ESID)-APDS registry aims characterize course, identify outcome predictors...

10.3389/fimmu.2018.00543 article EN cc-by Frontiers in Immunology 2018-03-16
Sabine M. El-Helou Anika-Kerstin Biegner Sebastian Bode Stephan Ehl Maximilian Heeg and 95 more Maria Elena Maccari Henrike Ritterbusch Carsten Speckmann Stephan Rusch Raphael Scheible Klaus Warnatz Faranaz Atschekzei Renata Beider Diana Ernst Stev Gerschmann Alexandra Dopfer‐Jablonka G. Mielke Reinhold Schmidt Gesine Schürmann Georgios Sogkas Ulrich Baumann Christian Klemann Dorothee Viemann Horst von Bernuth Renate Krüger Leif G. Hanitsch Carmen Scheibenbogen Kirsten Wittke Michael H. Albert Anna Eichinger Fabian Hauck Christoph Klein Anita Rack-Hoch Franz Sollinger Anne Avila Michael Borte Stephan Borte Maria Faßhauer Anja Hauenherm Nils Kellner Anna H. Müller Anett Ülzen Peter Bader Shahrzad Bakhtiar Jae‐Yun Lee Ursula Heß Ralf Schubert Sandra Wölke Stefan Zielen Sujal Ghosh Hans-Juergen Laws Jennifer Neubert Prasad T. Oommen Manfred Hönig Ansgar Schulz Sandra Steinmann Klaus Schwarz Gregor Dückers Beate Lamers Vanessa Langemeyer Tim Niehues Sonu Shai Dagmar Graf Carmen Müglich Marc Schmalzing Eva C. Schwaneck Hans‐Peter Tony Johannes Dirks Gabriele Haase Johannes G. Liese Henner Morbach Dirk Foell Antje Hellige Helmut Wittkowski Katja Masjosthusmann Michael Möhr Linda Geberzahn Christian M. Hedrich Christiane Müller Angela Rösen‐Wolff Joachim Roesler Antje Zimmermann Uta Behrends Nikolaus Rieber U. Schauer Rupert Handgretinger Ursula Holzer Jörg Henes Lothar Kanz Christoph Boesecke Jürgen K. Rockstroh Carolynne Schwarze‐Zander Jan‐Christian Wasmuth Dagmar Dilloo B Hülsmann Stefan Schönberger Stefan Schreiber Rainald Zeuner Tobias Ankermann Philipp von Bismarck

Introduction: The German PID-NET registry was founded in 2009, serving as the first national of patients with primary immunodeficiencies (PID) Germany. It is part European Society for Immunodeficiencies (ESID) registry. purpose to gather data on epidemiology, diagnostic delay, diagnosis, and treatment PIDs. Methods: Clinical laboratory collected from 2,453 36 PID centres an online Data analysed software Stata® Excel. Results: minimum prevalence Germany 2.72 per 100,000 inhabitants. Among...

10.3389/fimmu.2019.01272 article EN cc-by Frontiers in Immunology 2019-07-19
Maria Elena Maccari Martin Wolkewitz Charlotte Schwab Tiziana Lorenzini Jennifer W. Leiding and 95 more Nathalie Aladjdi Hassan Abolhassani Wadih Abou‐Chahla Alessandro Aiuti Saba Azarnoush Safa Barış Vincent Barlogis Federica Barzaghi Ulrich Baumann Markéta Bloomfield Nadezda Bohynikova Damien Bodet David Boutboul Giorgia Bucciol Matthew Buckland Siobhan O. Burns Caterina Cancrini P. Cathébras Marina Cavazzana Morgane Cheminant Matteo Chinello Peter Čižnár Tanya Coulter Maud D’Aveni Olov Ekwall Želimir Erić Efrem Eren Anders Fasth Pierre Frange Benjamin Fournier Marina García-Prat Martine Gardembas Christoph B. Geier Sujal Ghosh Vera Goda Lennart Hammarström Fabian Hauck Maximilian Heeg Edyta Heropolitańska–Pliszka Anna Hilfanova Stephen Jolles Elif Karakoç-Aydıner Gerhard Kindle Ayça Kıykım Christian Klemann Patra Koletsi Sylwia Kołtan Irina Kondratenko Julia Körholz Renate Krüger Éric Jeziorski Romain Lévy G. Le Guenno Guillaume Lefèvre Vassilios Lougaris Antonio Marzollo Nizar Mahlaoui Marion Malphettes Andrea Meinhardt Étienne Merlin Isabelle Meyts Tomáš Milota Fernando Moreira Despina Moshous Anna Mukhinа Olaf Neth Jennifer Neubert Bénédicte Neven Alexandra Nieters R. Nové-Josserand Éric Oksenhendler Ahmet Özen Peter Olbrich Antoinette Perlat Małgorzata Pac Jana Pachlopnik Schmid Lucia Pacillo Alba Parra-Martínez Olga Paschenko Isabelle Pellier Asena Pınar Sefer Alessandro Plebani Dominique Plantaz Seraina Prader L. Raffray Henrike Ritterbusch Jacques G. Rivière Beatrice Rivalta Stephan Rusch Inga Sakovich Sinisa Savic Raphael Scheible N. Schleinitz Catharina Schuetz Ansgar Schulz

10.1016/j.jaci.2023.06.015 article EN Journal of Allergy and Clinical Immunology 2023-06-28

Lately, pre-trained language models advanced the field of natural processing (NLP). The introduction Bidirectional Encoders for Transformers (BERT) and its optimized version RoBERTa have had significant impact increased relevance models. First, research in this mainly started on English data followed by trained with multilingual text corpora. However, current shows that are inferior to monolingual Currently, no German single model is yet published, which we introduce work (GottBERT). portion...

10.48550/arxiv.2012.02110 preprint EN other-oa arXiv (Cornell University) 2020-01-01

(1) Background: Next-generation sequencing (NGS) of patients with advanced tumors is becoming an established method in Molecular Tumor Boards. However, somatic variant detection, interpretation, and report generation, require in-depth knowledge both bioinformatics oncology. (2) Methods: MIRACUM-Pipe combines many individual tools into a seamless workflow for comprehensive analyses annotation NGS data including quality control, alignment, calling, copy number variation estimation, evaluation...

10.3390/cancers15133456 article EN Cancers 2023-07-01
Pauline Hägele Paulina Staus Raphael Scheible Annette Uhlmann Maximilian Heeg and 95 more Christian Klemann Maria Elena Maccari Henrike Ritterbusch Martin Armstrong Ioana Cutcutache Katherine S. Elliott Horst von Bernuth Timothy Ronan Leahy Jörg Leyh Dirk Holzinger Kai Lehmberg Peter Švec Katja Masjosthusmann Sophie Hambleton Marcus Jakob Monika Sparber‐Sauer Leo Kager Alexander Puzik Martin Wolkewitz Myriam Ricarda Lorenz Klaus Schwarz Carsten Speckmann Anne Rensing‐Ehl Stephan Ehl Mario Abinun Tore G. Abrahamsen Michael H. Albert Mohamed Almalky Sadaf Altaf Royala Babayeva Shahrzad Bakhtiar Safa Barış Ulrich Baumann Martina Becker Rita Beier Thomas Berger Ariane Biebl Stefan Bielack Saskia Biskup Sebastian FN Bode Regine Borchers Kaan Boztuğ Knut Brockmann Annelyse Bruwier B. Buchholz Andrés Caballero-Oteyza Andrew J. Cant Carla N. Castro Carl Friedrich Classen Alexander Claviez Roman Crazzolara Franziska Cuntz Nel Dąbrowska-Leonik Ute Derichs Gregor Dückers W. Eberl Georg Ebetsberger‐Dachs Miriam Erlacher Alexandre Fabre Laura Faletti Susan Farmand Antonio E. Figueiredo Marco Fischer Tim Flaadt Hermann Full Eleonora Gambineri Hermann Girschick Sigune Goldacker Bodo Grimbacher Miriam Groß Bernd Gruhn Florian Haberfellner Rosie Hague Holger Hauch Fabian Hauck Sabine Heine Elise J. Huisman Gordana Jakovljević Beki James Aleš Janda Neil D. Jones Petra Kaiser‐Labusch Karim Kentouche Julian C. Knight Stephanie Knirsch Udo Kontny Julia Körholz Thomas Krenn Ingrid Kuehnle Thomas Kühne Jae-Yun Lee-Dimroth Hartwig Lehmann Alfred Leipold Andrea Meinhardt Milen Minkov

10.1016/s2352-3026(23)00362-9 article EN The Lancet Haematology 2024-01-30

The National Library of Medicine (NLM) controls and publishes the thesaurus Medical Subject Headings which is used for indexing PubMed. Besides an XML export, NLM offers a web based MeSH browser. platform contains English terms. German Institute Documentation Information (DIMDI) partially translated published these Recently, (ZB-MED) overtook translation MeSH. However, there no dedicated focuses on covers multiple languages. Here, we address this gap, by offering modern multilingual...

10.3233/shti210939 article EN cc-by-nc Studies in health technology and informatics 2022-01-14

Medical Subject Headings (MeSH) is one of the most important vocabularies for information retrieval in medical research. It enables fast and reliable research on PubMed/MEDLINE, world's largest body literature. The original English version thesaurus can be accessed via a MeSH Browser developed by NLM. Recently, multilingual was proposed to enable usage across languages. To improve upon system, new user interface (UI) using contemporary web design frameworks combination with principles from...

10.3233/shti220653 article EN cc-by-nc Studies in health technology and informatics 2022-06-29

10.18653/v1/2024.emnlp-main.1183 article EN Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing 2024-01-01

Abstract Summary Primary Immunodeficiencies (PIDs) belong to the group of rare diseases. The European Society for (ESID) operates an international research database application continuous long-term documentation patient data. system is a web which runs in standard browser. Therefore, easy access from any location. Technically, based on Gails backed by MariaDB with high security features comply demands modern platform. Availability and implementation ESID Online Database accessible via...

10.1093/bioinformatics/btz525 article EN Bioinformatics 2019-06-28

Abstract Objective i2b2 offers the possibility to store biomedical data of different projects in subject oriented marts warehouse, which potentially requires replication between and also synchronization case changes. We present an approach that can save this effort assess its query performance a study reflects real-world scenarios. Material Methods For segregation, we used PostgreSQL’s row level security (RLS) feature, unit test framework pgTAP for validation testing as well application. No...

10.1093/jamiaopen/ooad068 article EN cc-by JAMIA Open 2023-07-04

<sec> <title>BACKGROUND</title> The internet has become a common source of health-related information, highlighting the growing reliance on digital platforms for healthcare knowledge. quality health information obtained from popular search engines may vary, posing challenges to users in evaluating and reliability these websites, especially individuals with low literacy literacy. Therefore, new engine was developed 2020, goal providing access high-quality, evidence-based content addressing...

10.2196/preprints.56941 preprint EN 2024-01-31

In medical data science, FHIR provides an increasingly used information model, which will lead to the creation of warehouses in future. To efficiently work with a FHIR-based representation, users need visual representation. The modern UI framework ReactAdmin (RA) enhances usability by leveraging current web standards such as React and Material Design. Rapid development implementation usable UIs is made possible its high modularity many widgets available framework. For connection different...

10.3233/shti230436 article EN cc-by-nc Studies in health technology and informatics 2023-06-29

The German Network on Primary Immunodeficiency Diseases (PID-NET) utilizes the European Society for Immunodeficiencies (ESID) registry as a platform collecting data. In context of PID-NET data, we show how registries based custom software can be made interoperable better collaborative access to precollected Open Source Registry System Rare (Open-Source-Registersystem für Seltene Erkrankungen [OSSE], in German) provides patient organizations, physicians, scientists, and other parties with...

10.2196/17420 article EN cc-by JMIR Medical Informatics 2020-03-22

The traditional manual recording of vaccination records in Germany faced challenges during the COVID-19 pandemic, prompting introduction a Covid smartphone app with QR codes. However, this solution brought new challenges, emphasizing need for centrally managed European digital record efficiency and validity. Thus, study assesses feasibility using HL7 FHIR standard healthcare industry implementing pass management monitoring system. system aims to offer convenience improved both patients...

10.20944/preprints202401.2245.v1 preprint EN 2024-01-31

The traditional manual recording of vaccination records in Germany faced challenges during the COVID-19 pandemic, prompting introduction a COVID smartphone app with QR codes. However, this solution brought new challenges, emphasizing need for centrally managed European digital record efficiency and validity. This study assesses feasibility using HL7 FHIR standard healthcare industry implementing pass management monitoring system. system aims to offer convenience improved both patients...

10.3390/digital4020019 article EN cc-by Digital 2024-04-24

Visualization of volumetric data holds great importance, particularly in medical and biomedical applications. Various imaging techniques, such as FMRI 3D microscopy, are employed to generate data, used practice, research, teaching. Commonly utilized tools like Slicer, Fiji, MATLAB ® aid rendering analyzing images. However, these may lack comprehensive functionality face challenges handling computational demands sizes grow. To address limitations, this work introduces a GPU-supported renderer...

10.20944/preprints202406.1960.v1 preprint EN 2024-06-27

Background The internet is a key source of health information, but the quality content from popular search engines varies, posing challenges for users—especially those with low or digital literacy. To address this, “tala-med” engine was developed in 2020 to provide access high-quality, evidence-based content. It prioritizes German websites based on trustworthiness, recency, user-friendliness, and comprehensibility, offering category-based filters while ensuring privacy by avoiding data...

10.2196/56941 article EN cc-by JMIR Human Factors 2024-10-23

Traditional tools, such as 3D Slicer, Fiji, and MATLAB®, often encounter limitations in rendering performance data management the dataset sizes increase. This work presents a GPU-enabled volume renderer with MATLAB® interface that addresses these issues. The proposed uses flexible memory leverages GPU texture-mapping features of NVIDIA devices. It transfers between CPU only case change renderings, texture to make use specific hardware benefits improve quality. A study using ViBE-Z zebrafish...

10.3390/digital4040049 article EN cc-by Digital 2024-11-30

Background: Lymphoproliferation and autoimmune cytopenias characterize autoimmune-lymphoproliferative syndrome (ALPS). Other conditions sharing these manifestations have been termed “ALPS-like”, although they are frequently more severe. Insufficient information on the genetic, clinical immunological features of disorders renders their diagnostic classification treatment difficult.Methods: We performed a 14-year prospective study 431 children referred for ALPS evaluation with...

10.2139/ssrn.4505328 preprint EN 2023-01-01

Data extraction, visualization and distribution is an important task in the daily work of a database management team. In medical field requests are often made by researchers who use spreadsheet programs such as Excel. Thus, we developed framework which allows us to extract tables with 1:N relations sparse prevents redundant information. The Framework implemented PHP using JSON interface. Further, offer connectors for direct connection Postgres database.

10.1016/j.simpa.2023.100588 article EN Software Impacts 2023-10-13

<sec> <title>BACKGROUND</title> The German Network on Primary Immunodeficiency Diseases (PID-NET) utilizes the European Society for Immunodeficiencies (ESID) registry as a platform collecting data. In context of PID-NET data, we show how registries based custom software can be made interoperable better collaborative access to precollected Open Source Registry System Rare (&lt;i&gt;Open-Source-Registersystem für Seltene Erkrankungen&lt;/i&gt; [OSSE], in German) provides patient organizations,...

10.2196/preprints.17420 preprint EN 2019-12-11

A significant portion of data in Electronic Health Records is only available as unstructured text, such surgical or finding reports, clinical notes and discharge summaries. To use this for secondary purposes, natural language processing (NLP) tools are required to extract structured information. Furthermore, interoperable use, harmonization the necessary. HL7 Fast Healthcare Interoperability Resources (FHIR), an emerging standard exchanging healthcare data, defines a format. For...

10.3233/shti220026 article EN cc-by-nc Studies in health technology and informatics 2022-06-06
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