With the increase of OMICS techniques a huge amount of molecular data are generated in modern biomedical research. In combination with medical images and clinical data, the field of omics revolutionized the implementation of personalized medicine. The related biomedical and OMICS datasets are complex and heterogeneous. To get out the relevant and meaningful knowledge from this vast amount of information is one of the most important challenge for bioinformatics and machine learning researchers. This rises the interest and strenghend the potential of deep learning methods to create predictive models and to identify complex patterns from these large datasets.
This year the conference 16th Current Topics of Bioinfomatics deals with deep learning techniques and the significance of OMICS data. We raises the questions what we can learn from OMICS data and how do we handle the huge datasets and what does that mean for future medicine.
Please find below the preliminary agenda.
We will give speakers and a reduced number of participants (first come – first serve) the opportunity to meet personally on site in Berlin. All others can actively participate online via live stream.
Call for pitches
Are you working in the field of bioinfomatics and want to present your R&D in a 2 min pitch during this conference?
If you are interested please write an email to jasmin.podufall@noSpamberlin-partner.de and describe your research in 2-5 sentences until May 2nd 2021.
Chair: Prof. Uwe Ohler, Max-Delbrück-Centrum für Molekulare Medizin, Berlin & N.N.
2 p.m. Welcome Address Steering Committee
Prof. Martin Vingron, Max Planck Institute for Molecular Genetics, Berlin
2:10 p.m. Welcome Address Cluster HealthCapital
Dr. Jasmin Podufal, Berlin Partner for Business and Technology
2:15 p.m. Key Note
Prof. Roland Eils, Berlin Institute of Health, Berlin
(Deep) Learning from -OMICS Data (tbc)
2:45 p.m. Djork-Arné Clevert, Bayer AG
Analysis of Omics Data with Rectified Factor Networks
3:15 p.m. Pitches
2 min each
3:45 p.m. Coffee Break
4:00 p.m. Pitches
2 min each
4:30 p.m. Prof. Stefan Bonn, University Medical Center Hamburg-Eppendorf (UKE), Hamburg
Predict diseases using deep and machine learning approaches (tbc)
4.50 p.m. Dr. Ralf Herwig, Max Planck Institute for Molecular Genetics, Berlin
Machine learning methods for precision medicine (tbc)
5:10 p.m. Panel Discussion „Career Models in Bioinformatics“
5:40 p.m. Closing Remarks
Dr. Bertram Weiss, Bayer AG, Berlin
6:00 p.m. End of Event
For further information please contact Dr. Jasmin Podufall
(firstname.lastname@example.org, +49 30 46302 122).
Prof. Dr. Uwe Ohler, Max Delbrück Center for Molecular Medicine, Berlin
Prof. Dr. Martin Vingron, Max Planck Institute for Molecular Genetics, Berlin
Dr. Bertram Weiss, Bayer AG
About the event
“Current Topics in Bioinformatics” is an annual symposium bringing together the local actors in Bioinformatics from academia and industry in the Berlin-Brandenburg region. The series was founded in 2003 by the Max Planck Institute for Molecular Genetics (MPIMG) together with the Healthcare Industries Cluster from HealthCapital Berlin-Brandenburg. Since 2019, a Steering Committee including Bayer, the Max Planck Institute for Molecular Genetics, Berlin and the Max Delbrück Center for Molecular Medicine (MDC) has been established to further advance the series and establish it as the annual meeting of Bioinformaticians in the Berlin-Brandenburg region.