Laboratory of Systems Tumor Immunology Erlangen, Germany
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JVeraLab
         Systems Tumor Immunology at
FAU Erlangen-Nürnberg

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Algorithms and computer models for a molecular-level understanding of human health and disease

We have accumulated an enormous amount of clinical and genetic data about tening human diseases like cancer. However, clinicians cannot interpret on their own this avalanche of data, and the patients are not making an actual profit from all this knowledge

At the Systems Tumour Immunology Laboratory, we develop computer algorithms that help clinicians to make quicker diagnostics and better decisions about cancer therapy. We utilize bioinformatics algorithms, machine learning, and computational models to integrate clinical and molecular data. Our aim is to generate a mechanistic understanding of human health and disease

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Melanoma in the (micro)scope: the testbed for modern cancer immunotherapies

Immunotherapies are a new family of effective cancer therapies that potentiate the natural response of the immune system against cancers. However, a significant fraction of patient does not respond to immunotherapies, while others suffer immune-related side effects in vital body organs

We think that metastatic melanoma is the ideal testbed to improve existing immunotherapies and design new ones. In this process, -omics era profiling of patient samples, bioinformatics algorithms, and computational models will play a pivotal role 

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Key facts about us

  • A group of biologists, computer scientists, and clinicians led by a physicist
  • DNA-Seq, RNA-Seq, miRNA-Seq, and Nanopore-Seq data analysis
  • Expertise in bioinformatics, network biology, and systems biology
  • Multi-criteria decision algorithms applied to biomedicine
  • German- and EU-level projects in cancer diagnostics and immunotherapy
  • Partners in Spain, Israel, Portugal, Netherlands, Bulgaria, Australia, Mexico, and China
  • We teach network and systems biology and supervise bachelor and master thesis
  • We are part of the Department Dermatology, University Hospital Erlangen and Friedrich-Alexander-University Erlangen-Nürnberg
  • We are integrated in the German Centre for Immunotherapy and the Comprehensive Cancer Centre Erlangen
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Selected recent publications

A disease network-based deep learning approach for characterizing melanoma (2021)

Network- and systems-based re-engineering of dendritic cells with non-coding RNAs for cancer immunotherapy (2020)

Systems Biology-based exploitation of cooperating miRNAs as monotherapy or adjuvant therapy in cancer (2019)

See our entire list of publications here
Our tools
    Vcells.net: Comprehensive networks         
    Curatopes.com: Therapeutic Tumor Epitopes          

    Synmirapy.net: Cancer miRNAs
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Latest news
  • October 2022. We teamed up with a group of German scientists to write a survey on the potential of systems medicine and artificial intelligence in melanoma.
  • June 2022. Our Horizon 2020 project on Cancer Immunotherapy with partners from Spain, Israel, Portugal, and Netherlands starts
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