Colloquium: Technological development and application of Deep Learning in Biomedicine

2 December 2019

This presentation will give an overview of recent technological advancements and their application of AI to biomedical use cases. It will cover generative models such as GANs and Autoencoders for data generation, cohort simulation, latent space modeling, and conditional de-biasing, In addition, we will talk about semi blind source separation in cell deconvolution and image segmentation and classification in disease scenarios. Finally, an outlook on expert systems in clinical diagnosis, prognosis, and treatment are given while the Center for Biomedical AI at the UKE will be introduced.

Prof. Dr. Stefan Bonn is Director of the Institute of Medical Systems Biology and Full Professor at the University Hospital Hamburg-Eppendorf (UKE), Germany. He is also Senior researcher at the German Center for Neurodegenerative Diseases.

Our institute is specialized in the analysis of biomedical data using computational methods. We have over a decade of experience in developing, applying, and teaching algorithms in the fields of machine learning, statistics, and graph theory. We have published seminal articles in the fields of gene regulation (Nat. Gen. 2012, Nat. Neurosci. 2016), genomics (Mol. Sys. Biol. 2017), and deep learning in single cell sequencing (Bioarchives 2018, Nat. Comm. in revision). We already collaborate strongly with the Huber group, integrating cytokine, scRNA-seq, and clinical data into holistic models of disease.

Monday, 2 December 2019, 17:15, Lecture Hall B-201, Informatikum, Vogt-Kölln-Str. 30, Hamburg

Speaker: Prof. Dr. Stefan Bonn, UKE