Session 3

Please note: Due to restrictions from the speaker and/or her/his institutions, some presentations cannot be uploaded.

Session III: Artificial Intelligence in Medicine

Artificial Intelligence in Healthcare and in Drug Design | Application of Medical Informatics, Bioinformatics, Data Sciences | Modeling Systems and Medical Decision Support | Translational Machine Learning | Data Mining for Personalised Medicine | Medical Image Processing | Role of Intraoperability

Short Presentations

Stefanie StammlerAOK Nordost – Die Gesundheitskasse
AI@AOK  Potential of AI for the Health Sector


Prof Gisbert Schneider, ETH Zurich
Rethinking Drug Design by Artificial Intelligence

Prof John Chodera, Memorial Sloan Kettering Cancer Center
Redesigning Drug Design


Dr Günter Klambauer, Johannes Kepler University Linz
Revitalising Drug Discovery With AI and Deep Learning


Hanna Drimalla, Hasso Plattner Institute for Digital Engineering gGmbH
Forecasting Mental Earthquakes Using Smartphone Data


Prof Bert Arnrich, Hasso Plattner Institute for Digital Engineering gGmbH
Electronic Health Assistants


Gerald Bieber, Fraunhofer-Institut für Graphische Datenverarbeitung Rostock IGD-R
Social Robots for Supporting Vital Data Assessment


Dr Martin Kircher, Berlin Institute of Health (BIH)
Integration of Genome-Wide Data Sets for DNA Variant Prioritisation


Dr Philipp Euskirchen, Charité – Universitätsmedizin Berlin
Realtime Molecular Diagnostics of Cancer Using Third-Generation Sequencing


Dr Manuela Benary, Charité – Universitätsmedizin Berlin
Precision Oncology Using Big Data  How to Predict Relevant Targets and Therapies


Dr Bharath Ananthasubramaniam, Charité – Universitätsmedizin Berlin
Personalising Time: A "Pill" in Time Could Save Nine!


Dr Manuel Holtgrewe, Berlin Institute of Health (BIH) / Max Delbrück Center for Molecular Medicine in the Helmholtz Association / Charité – Universitätsmedizin Berlin
Is Radiation-Induced DNA Damage Inheritable in Humans?


Keno März, German Cancer Research Center (DKFZ)
Surgical Data Science as a Perspective for Next Generation Medicine


Prof Robert Gütig, Berlin Institute of Health (BIH)
Learning Across Space and Time in Spiking Neural Networks


Dr Daniel Sonntag, German Research Center for Artificial Intelligence
Future Digitisation and Digitalisation of Medical Decision Support in Virtual Reality


Prof Nina Henriette Uhlenhaut, Helmholtz Zentrum München, German Research Center for Environmental Health
Cistromic Mechanisms Regulating Metabolism, Inflammation and the Circadian Clock


Prof Enkelejda Miho, Institute of Medical and Analytical Technologies, School of Life Sciences, FHNW
Predicting Personal Immune Scenarios by Network Analysis


Dr Roland Roller, German Research Center for Artificial Intelligence (DFKI)
Early Detection of Complications in Patients After Kidney Transplant


Dr Martin Lindner, Karius Inc.
Precision Medicine for Infectious Diseases


Dr Vince Madai, Charité – Universitätsmedizin Berlin
Leveraging A.I. to Improve Stroke Prevention and Treatment


Prof Willem Waegeman, Ghent University
Real-Time Diagnostics by Monitoring Microbial Communities


Dr Mirja Ramke, Charité – Universitätsmedizin Berlin
Deep Learning in Microscopy Image Analysis of Human Lung Tissue


Dr Dagmar Kainmüller, Berlin Institute of Health (BIH)
Models and Methods for Biomedical Image Analysis


Dr Martin Atta Mensah, Charité – Universitätsmedizin Berlin
Prioritising Exome Data by Image Analysis


Wrap-up and Perspectives

Dr Kerstin Ritter, Bernstein Center for Computational Neuroscience Berlin

Dr Matthieu Schapranow, Hasso Plattner Institute for Digital Engineering gGmbH