Coronavirus personalised risk models
Coronavirus personalised risk models

Publications

AI & risk modeling

  • Ashar Ahmad, Holger Fröhlich (2017)
    Towards clinically more relevant dissection of patient heterogeneity via survival-based Bayesian clustering
    Bioinformatics, 33(22), 3558-3566, https://doi.org/10.1093/bioinformatics/btx464
  • Thomas Gerlach, Chao Lu, Holger Fröhlich (2017)
    Predicting comorbidities of epilepsy patients using big data from Electronic Health Records combined with biomedical knowledge
    Proc. of the German Conference on Bioinformatics 2017/, 5:e3228v1, https://doi.org/10.7287/PEERJ.PREPRINTS.3228V1
  • Shashank Khanna, Daniel Domingo-Fernandez, Anandhi Iyappan, Mohammad Asif Emon, Martin Hofmann-Apitius, Holger Fröhlich (2018)
    Using Multi-Scale Genetic, Neuroimaging and Clinical Data for Predicting Alzheimer's Disease and Reconstruction of Relevant Biological Mechanisms
    Nature Scientific Reports, 8, Article number: 11173, https://www.nature.com/articles/s41598-018-29433-3
  • Colin Birkenbihl, Mohammad Asif Emon, Henri Vrooman, Sarah Westwood, Simon Lovestone, On behalf of the AddNeuroMed Consortium, Martin Hofmann-Apitius, Holger Fröhlich (2020)
    Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practice
    EPMA Journal, 11(3):367-376, https://doi.org/10.1007/s13167-020-00216-z
  • Thomas Linden, Frank Hanses, Daniel Domingo-Fernández, Lauren Nicole DeLong, Alpha Tom Kodamullil, Jochen Schneider, Maria J.G.T. Vehreschild, Julia Lanznaster, Maria Madeleine Ruethrich, Stefan Borgmann, Martin Hower, Kai Wille, Torsten Feldt, Siegbert Rieg, Bernd Hertenstein, Christoph Wyen, Christoph Roemmele, Jörg Janne Vehreschild, Carolin E.M. Jakob, Melanie Stecher, Maria Kuzikov, Andrea Zaliani, Holger Fröhlich, on behalf of the LEOSS study group (2021)
    Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases
    Artificial Intelligence in the Life Sciences 1:100020, https://doi.org/10.1016/j.ailsci.2021.100020

COVID-19 Terminology, Ontology & Knowledge Graphs

  • Daniel Domingo-Fernández,  Shounak Baksi,  Bruce Schultz,  Yojana Gadiya, Reagon Karki,  Tamara Raschka,  Christian Ebeling,  Martin Hofmann-Apitius, Alpha Tom Kodamullil (2020)
    COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology
    Bioinformatics, btaa834, https://doi.org/10.1093/bioinformatics/btaa834
  • Bruce Schultz,  Andrea Zaliani,  Christian Ebeling, Jeanette Reinshagen, Denisa Bojkova, Vanessa Lage-Rupprecht, Reagon Karki, Sören Lukassen, Yojana Gadiya, Neal G. Ravindra,  Sayoni Das,  Shounak Baksi, Daniel Domingo-Fernández, Manuel Lentzen, Mark Strivens, Tamara Raschka,  Jindrich Cinatl, Lauren Nicole DeLong, Phil Gribbon,  Gerd Geisslinger, Sandra Ciesek, David van Dijk, Steve Gardner, Alpha Tom Kodamullil, Holger Fröhlich, Manuel Peitsch, Marc Jacobs, Julia Hoeng, Roland Eils, Carsten Claussen, Martin Hofmann-Apitius (2020)
    The COVID-19 PHARMACOME: Rational Selection of Drug Repurposing Candidates from Multimodal Knowledge Harmonization.
    bioRxiv, https://www.biorxiv.org/content/10.1101/2020.09.23.308239v1.abstract
  • Astghik Sargsyan, Alpha Tom Kodamullil, Shounak Baksi, Johannes Darms, Sumit Madan, Stephan Gebel, Oliver Keminer, Geena Mariya Jose, Helena Balabin, Lauren Nicole DeLong, Manfred Kohler, Marc Jacobs and Martin Hofmann-Apitius (2020)
    The COVID-19 Ontology
    Bioinformatics 36 (24):5703–5705, https://doi.org/10.1093/bioinformatics/btaa1057
  • Marie-Thérèse Hopp, Daniel Domingo-Fernández, Yojana Gadiya, Milena S. Detzel, Regina Graf , Benjamin F. Schmalohr, Alpha T. Kodamullil, Diana Imhof and Martin Hofmann-Apitius (2021)
    Linking COVID-19 and Heme-Driven Pathophysiologies: A Combined Computational–Experimental Approach
    Biomolecules 11(5), 644; https://doi.org/10.3390/biom11050644
  • Bruce Schultz, Andrea Zaliani, Christian Ebeling, Jeanette Reinshagen, Denisa Bojkova, Vanessa Lage‑Rupprecht, Reagon Karki, Sören Lukassen, Yojana Gadiya, Neal G. Ravindra, Sayoni Das, Shounak Baksi, Daniel Domingo‑Fernández, Manuel Lentzen, Mark Strivens, Tamara Raschka, Jindrich Cinatl, Lauren Nicole DeLong, Phil Gribbon, Gerd Geisslinger, Sandra Ciesek, David van Dijk, Steve Gardner, Alpha Tom Kodamullil, Holger Fröhlich, Manuel Peitsch, Marc Jacobs, Julia Hoeng, Roland Eils, Carsten Claussen & Martin Hofmann‑Apitius (2021)
    A method for the rational selection of drug repurposing candidates from multimodal knowledge harmonization
    Scientific Reports 11:11049, https://doi.org/10.1038/s41598-021-90296-2
  • Philipp Wegner, Geena Mariya Jose, Vanessa Lage-Rupprecht, Sepehr Golriz Khatami, Bide Zhang, Stephan Springstubbe, Marc Jacobs, Thomas Linden, Cindy Ku, Bruce Schultz, Martin Hofmann-Apitius, Alpha Tom Kodamullil and the COPERIMOplus consortium (2022)
    Common data model for COVID-19 datasets
    manuscript accepted for publication in BIOINFORMATICS