Veranstaltungen

DigiMed Bayern Symposium - registration is now open

The consortium "DigiMed Bayern - Pilot Project for P4 Medicine in Bavaria " invites you to this year's DigiMed Bayern Symposium with national and international key players.

Time and Place:
March 16-18, 2021
15:00 - 17:00 (CET), digitally delivered

More information about the preliminary program, confirmed speaker and DigiMed-Bayern can be found at:
DigiMed Bayern Symposium 2021

The opportunities in data-driven medicine are promising: for patients, for the health system and for the economy. The potential of acquisition and IT-supported application of high-dimensional health data in clinical research and healthcare will for sure be leveraged in the coming years. In addition to the medical-biological perspective, a particular hot topic is to build fit-for-purpose IT-infrastructures on European, German and local scales. Key is also to assess and adapt the interplay of data-driven modern medicine with society and individual patients as beneficiaries and donors.

Program Highlights:

·         Day 1: Translation of cardiovascular research using digital approaches

·         Day 2: Medical benefits based on clinical application of multi-omics approaches

·         Day 3: Bioinformatics and digital solutions for translational medicine

About DigiMed Bayern:

The lighthouse P4-medicine project DigiMed Bayern was launched at the end of 2018 with more than € 20 million funding by the Bavarian State Ministry of Health and Care. DigiMed Bayern combines comprehensive datasets of patients diagnosed with atherosclerotic diseases, such as coronary heart disease and stroke, or with genetic risk factors. These data with additional corresponding epidemiological datasets will be further enriched with state-of-the-art multi-dimensional molecular characterization (-omics technologies) of associated sample material. Health insurance and sociological data complement the picture. For the integrative analysis of the resulting "Big Data", a secure, compliant, scalable and sustainable IT-infrastructure will be fundamentally designed, implemented and applied. Patients and persons at risk will benefit from advancements in disease risk prediction, targeted prevention, diagnosis and treatment.

Free to join, please register here: