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Digital Health News

Computational model to reduce CRISPR-Cas9 off-target effects

We are pleased to announce our novel computational model for reducing off-target effects in CRISPR-Cas9 approaches: The manuscript  Coupling Cas9 to artificial inhibitory domains enhances CRISPR-Cas9 target specificity  by Aschenbrenner  et al.  got recently accepted and will be published in  Scientific Advances . 
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Digitale Arbeitswelt und intelligente Medizin - KI im Spannungsfeld von Wissenschaft, Gesellschaft und Politik

On January 30th 2020, Roland Eils was invited as key speaker to an evening event with the focus on the digitalization and usage of artificial intelligence in health and disease, organized by the Bundespresseamt and the Einstein Foundation. As an expert for digital medicine, Roland Eils critically discussed the lack of digitalization in the medical sector specifically in Germany and emphasized the high potential of data-driven diagnostics in precision medicine. As an example, he presents recent efforts in translational research in the field of cancer diagnostics, closing his talk with the words „Data can save lives!“. 
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ESPACE: New Year - New Project

Our EU Horizon 2020 project ESPACE started on January 1st 2020. The kick-off meeting end of January 2020 took part in Berlin and hosted most of the ESPACE partners for fruitful discussions and a successful start of the project. We are very much looking forward to exciting two years in which we are working towards a Human Cell Atlas of the Pancreas.
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Systems Biology of Human Disease 2020 in Berlin

The Digital Health Center organises this year's INTERNATIONAL CONFERENCE ON SYSTEMS BIOLOGY OF HUMAN DISEASE - SBHD 2020 in Berlin, July 06th - 08th. Don't miss this opportunity to participate in a scientifically outstanding and highly entertaining program. We are looking forward to welcoming you in Berlin!
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GAIA-X

The BIH Center for Digital Health is part of the BMBF GAIA-X program that aims to create an open digital infrastructure for save and trustful data sharing, data storage and data handling. The Center for Digital Health is supporting GAIA-X with the available infrastructures of the de.NBI cloud.
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Falling Walls lab

Congratulations, Julius - winner of the Falling Walls lab competition!
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