piwik-script

Deutsch
    Center for Computational and Theoretical Biology

    AI@CCTB

    Artificial Intelligence at the Center for Computational and Theoretical Biology

    As part of CAIDAS, we develop and apply AI-based methods for the analysis of biological data at all scales, in collaboration with other groups at the Faculty of Biology as well as with local and international partners.


    Examples of AI-related research projects at the CCTB:

    Analysis and prediction of 3D cell-cell interactions with artifical neural networks
    more 

    Prof. Sabine Fischer

    Collaboration with Munoz Lab

    Improving super-resolution microscopy using generative adversarial networks
    more

    Prof. Philip Kollmannsberger

    Collaboration with Sauer Lab (Biocenter)

    Genomic prediction of draught tolerance with deep learning
    more

    Prof. Arthur Korte

    Collaboration with Botany-1 

    Machine-learning based optimization of mechanistic models for biodiversity
    more

    Prof. Juliano Sarmento Cabral

    Collaboration with Zoology-3 (Biocenter)

    Classification of pollen images in combination with DNA Barcoding
    more

    PD Dr. Alexander Keller

    Collaboration with Zoology-3 (Biocenter)

    Segmentation and classification of subcellular structures in electron tomograms
    more

    Prof. Philip Kollmannsberger

    Collaborations with Zoo-1Bioinformatics and Imaging Facility

    Predicting potential distribution areas of tropical plants with deep learning
    more

    Prof. Juliano Sarmento Cabral

    Collaboration with Zoology-3 (Biocenter)

    Protein secondary structure prediction in Cryo-EM maps
    more

    Prof. Philip Kollmannsberger

    Collaboration with Rudolf Virchow Center 


    If you are interested in collaborating with the CCTB, please contact the different research groups.