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Holger Fröhlich
© Uni Bonn
Prof. Dr. Holger Fröhlich

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Affiliations
  • Bonn-Aachen International Center for IT (b-it)
  • Fraunhofer Institute for Algorithms and Scientific Computing (SCAI)
Research topics
  • algorithm development
  • precision medicine
Since around 20 years my research focuses on Data Science approaches (statistical Data Mining and machine learning) with specific focus on applications in biomedicine. I am in particular interested in precision medicine and early drug discovery, including systems medicine. Since standard computational approaches often do not yield satisfactory answers to the highly complex questions in these application domains, there is a strong methodological aspect of my work and the work of my team. It includes the development of new algorithms for multi-modal data integration, time series modeling and Hybrid AI. Altogether the work of my team covers a value chain ranging from drug target identification, modeling of biological systems, precision medicine up to AI based approaches for simulation of clinical studies.
Selected publications

Johann de Jong, Ioana Cutcutache, Matthew Page, Sami Elmoufti, Cynthia Dilley, Holger Fröhlich*), Martin Armstrong*) (2021), Towards Realizing the Vision of Precision Medicine: AI Based Prediction of Clinical Drug Response, Brain, doi: 10.1093/brain/awab108 *) equal contribution

Johann de Jong, Mohammad Asif Emon, Ping Wu, Reagon Karki, Meemansa Sood, Patrice Godard, Ashar Ahmad, Henri Vrooman, Martin Hofmann-Apitius, Holger Fröhlich (2019), Deep learning for clustering of multivariate clinical patient trajectories with missing values, Giga Science, Volume 8, Issue 11.

Luise Gootjes-Dreesbach, Meemansa Sood, Akrishta Sahay, Martin Hofmann-Apitius, Holger Fröhlich (2020), Variational Autoencoder Modular Bayesian Networks (VAMBN) for Simulation of Heterogeneous Clinical Study Data, Frontiers in Big Data: Medicine and Public Health, doi: 10.3389/fdata.2020.00016

Mohammad Asif Emon, Ashley Heinson, Ping Wu, Daniel Domingo-Fernandez, Meemansa Sood, Henri Vrooman, Jean-Christophe Corvol, Phil Scordis, Martin Hofmann-Apitius, Holger Fröhlich (2020), Clustering of Alzheimer's and Parkinson's Disease Based on Genetic Burden of Shared Molecular Mechanisms, Scientific Reports, 10, Article number: 19097

Holger Fröhlich
© Uni Bonn
Prof. Dr. Holger Fröhlich

Website

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