Veranstaltungen

22-23.03.2020

Wo bleibt das “Wir” in der personalisierten Medizin? (Dialogreihe: Innovation und Verantwortung)

 

durchgeführt von LMU_TTN (Leitung DigiMed Bayern AP7.1) in Kooperation mit acatech - Deutsche Akademie der Technikwissenschaften und der Evangelischen Akademie Tutzing.

Weitere Infos und das vorläufige Programm: hier


14-15.02.2020

Das Herz
Pumpe-Glaubensorgan_Seinskonstitution

 

durchgeführt von LMU_TTN (Leitung DigiMed Bayern AP7.1)

Weitere Infos und das vorläufige Programm: hier


06.11.2019

DigiMed Bayern Symposium 2019

Translationale Medizin im digitalen Zeitalter

 

Programm & Registrierung:

https://www.digimed-bayern.de/symposium-2019.html


23.04.2019

DigiMed Bayern Public Seminar

Advanced digital platforms for projects dealing with sensitive health data

Speakers:

Leon du Toit

Section Leader, Research Services
Services for Sensitive Data, University of Oslo, Center for IT

Prof. Dr. Thomas Berlage

Head of Life Science Informatics
Fraunhofer Institute for Applied Information Technology

Date:
Tuesday, April 23, 2019, 5:00-7:00 pm
Location:
Lecture Hall German Heart Center Munich, Lazarettstr. 36, 80636 Munich

Abstract: Various areas of modern research produce huge amounts of data every day - with enormous potential but also novel challenges.
With increased awareness of data protection as well as strengthened regulatory requirements by implementation of the General Data Protection Regulation (GDPR), research projects using sensitive health data and medical data have to consider aspects like security, accessibility and interoperability. In order to use the potential as comprehensively as possible and in accordance with regulatory requirements, appropriate solutions are necessary.
At the next DigiMed Bayern Public Seminar, we invited Mr. Leon du Toit (University of Oslo, Norway) and Mr. Thomas Berlage (Fraunhofer Institute for Applied Information Technology, Germany) to demonstrate the Services for Sensitive Data (TSD) and the Fraunhofer Medical Data Space (MedDS) platforms. With these two advanced technical solutions in this field, we are looking forward to a fruitful discussion with the audience.

The event is free of charge, registration is not necessary.


01.04.2019

DigiMed Bayern Public Seminar

Patient care improvement and clinical performance measurement by patient data profiling and cluster visualization

Speaker: Prof. Dr. Martijn A. Spruit

Scientific Advisor, CIRO, The Netherlands
Professor in Rehabilitation of Chronic Organ Failure, Maastricht University, The Netherlands
Professor in Rehabilitation Sciences and Physiotherapy, Hasselt University, Belgium

Date:
Monday, April 1, 2019, 5:00-7:00 pm
Location:
Lecture Hall German Heart Center Munich, Lazarettstr. 36, 80636 Munich

Abstract:
During today’s lecture, Prof. Martijn A. Spruit will present the (preliminary) results of multiple VISCOVERY® analyses focussing on the added value of clustering of patients with COPD (chronic obstructive pulmonary disease). The clustering is based on the patients’ clinical complexity (for example, comorbidities or comprehensive lung function assessment) as well as on their response to treatment (for example pulmonary rehabilitation or drug treatment). This “real-world” study clearly exemplifies the added value that can be derived from such new approaches and insights, while at the same time demonstrating the underlying complexity of clinical data analysis.
Prof. Spruit has published >250 peer-reviewed articles on pulmonary rehabilitation, physical inactivity, and extra-pulmonary treatable traits in patients with chronic lung disease. He was the lead author on the 2013 ATS/ERS Statement on Pulmonary Rehabilitation. The European Respiratory Society awarded him the ERS COPD Research Award in 2013 and he became an ERS Fellow in 2016.
The work presented here is conducted under the roof of CIRO. CIRO specialises in treating people with chronic diseases such as COPD and asthma, heart failure or sleep-related respiratory distress. Each CIRO treatment plan is tailored to suit the needs of the patient.

The event is free of charge, registration is not necessary.


13.03.2019

DigiMed Bayern Public Seminar

Handling Precision Medicine: Yes We Can! (and What We Can’t)

Speakers:

Olaf Lodbrok, MBA

Senior Vice President & General Manager, Precision Medicine, Elsevier

Dr. Klaus Heumann

CEO, Biomax Informatics

Date:
Wednesday, March 13th, 2019, 5:00-7:00 pm
Location:
Lecture Hall German Heart Center Munich, Lazarettstr. 36, 80636 Munich

Abstract:

Nowadays, everybody is talking about “digital medicine”, “big data”, “data is the new oil”. But what do these buzzwords really mean, especially for the clinic and research daily life? If you are also getting confused in this digital health rocket launch era, you should attent our next DigiMed Bayern Public Seminar: After 4 enlightening talks presenting approaches and solutions in academic environment, we are happy to announce the next get-together event with experienced players from the “knowledge” industry. They will show their path to manage this data jungle, up to applied cases and also unsolved problems.

The event is free of charge, registration is not necessary.


25.02.2019

DigiMed Bayern Public Seminar

From Biobanking to Precision Medicine: The Estonian Way

Speaker: Prof. Andres Metspalu, MD, PhD

The Estonian Genome Center, Institute of Genomics, University of Tartu, Estonia

Date:
Monday, February 25, 2019, 5:00-6:00 pm
Location:
Lecture Hall German Heart Center Munich, Lazarettstr. 36, 80636 Munich

Abstract:

The Estonian Biobank was founded in the year 2000 as a population-based biobank. By the end of 2019 it will include a collection of health and genetics data of around 200.000 people, which is approximately 20% of the adult population. All participants of the biobank have donated blood samples for DNA extraction and genotyping with the Illumina Global Screening Array (GSA), embracing roughly 700.000 genetic markers. The Estonian Human Genes Research Act allows regular data updating through linkage to national registries. This enables long-term follow-up of the cohort and to re-contact the sample donors. Therefore, the implementation of the EU General Data Protection Regulation (GDPR) required only mostly cosmetic adaptations.
Whole genome and whole exome sequencing (WGS and WES) are performed on each 2.500 and 2.600 genomes. This can be used as population-based reference for deriving extended genetic information from all GSA genotypes in the biobank by “imputation”. In the past few years, we increased our focus on translating genetic research results to improve public health. A nationwide technical infrastructure (X-road) for the secure electronic exchange of medical data has also been established and is maintained by the state. This allows creating the disease (or life!) trajectories on all sample donors from the birth in the Estonian Biobank, where all contacts with the medical systems incl. ICD-10 diagnoses, prescriptions, lab data and electronic medical records are included. Using our WGS and WES data, we have demonstrated that this “genetics first approach” discovers many previously carriers of familiar hypercholesterolemia. Over 50% of these diagnosed patients received consequentially adapted medical treatment. We are conducting several pilot projects to work out the best ways to return heath related research data - “genetic risks scores” - back to interested donors. This is a valuable instrument of early disease prediction and prevention. For that purpose, we have further developed decision support tools for several major diseases like CAD, T2D and breast cancer, as well as for genetic predisposition for individual drug responses (pharmacogenomics). These tools will be transferred to our medical system in next few years. Together with the RITA program on personalized medicine in two largest hospitals in Estonia, the P4 medicine (personal, predictive, preventive and participatory) has reached to the point of no return.

The event is free of charge, registration is not necessary.


31.01.2019

DigiMed Bayern Public Seminar

Catalan open innovation hub on ICT-supported integrated care services for chronic patients

Speaker: Prof. Josep Roca, MD, PhD 

Hospital Clinic de Barcelona. IDIBAPS. University of Barcelona

Date:
Thursday, January 31, 2019, 5:00-6:00 pm
Location:
Lecture Hall German Heart Center Munich, Lazarettstr. 36, 80636 Munich

Abstract:

Due to profound changes occurring in biomedical knowledge and in health systems worldwide, an entirely new health and social care scenario is emerging. Moreover, the enormous technological potential developed over the last years is increasingly influencing life sciences and driving changes toward personalized medicine and value-based healthcare.
However, the current slow progression of adoption, limiting generation of healthcare efficiencies through technological innovation, can be realistically overcome by fostering convergence between a Systems Medicine approach and the principles governing Integrated Care. Implicit with this strategy is the multidisciplinary active collaboration of all stakeholders involved in the change.
The Catalan open innovation hub on ICT-supported integrated care services for chronic patients aims to consolidate a collaborative network promoting regional deployment of enhanced care for chronic patients encompassing vertical integration, between specialized and primary care, as well as horizontal integration among community-based healthcare and social services.
Main goals are:
(i) Promotion of ICT-supported value-generating services with a preventive focus; (ii) To develop & apply innovative evaluation methods in real world settings; (iii) Develop multilevel subject-specific risk predictive modelling feeding clinical decision support systems / patient decision support systems (CDSS/PDSS); (iv) Develop & implement cloud-based computing environments; and, (v) Refine application of the regulatory frame for evaluation in real-world settings.

The event is free of charge, registration is not necessary.


21.01.2019

DigiMed Bayern Public Seminar

Systems BioMedicine - tying to merge basic research with health care data

Speaker: Prof. Dr. Reinhard Schneider

Head of Bioinformatics Core Facility, Head of the ELIXIR-Luxembourg Node Luxembourg Centre for Systems Biomedicine, University of Luxembourg

Date:
Monday, January 21st, 2019, 18:00-19:00
Location:
Lecture Hall German Heart Center Munich, Lazarettstr. 36, 80636 Munich

Abstract:
Prof. Dr. Reinhard Schneider will present the software platforms developed as part of IMI projects and the Parkinson disease cohort in Luxembourg, which is focused on the early-stage diagnosis of Parkinson's disease (PD) and improvement in the stratification of PD.

The combination of these projects brings various data sources, data mining technologies and visualisation techniques together.

The talk will discuss the IT and data management setup for these projects and will explain the integration efforts between the respective partners. In addition the challenges of data sharing under the FAIR principles and under the GDPR regulations in the context of the Luxembourg Elixir node will be discussed.

The event is free of charge, registration is not necessary.


09.01.2019

DigiMed Bayern Public Seminar

Systems Medicine - A big data driven disruptive view on current medicine

Speaker: Prof. Dr. Jan Baumbach

Chair of Experimental Bioinformatics, Technical University of Munich, Germany

Date:

Wednesday, Januar 9th, 2019, 17:00-18:00
Location:
Lecture Hall German Heart Center Munich, Lazarettstr. 36, 80636 Munich

Abstract:
One major obstacle in current medicine and drug development is inherent in the way we define and approach diseases. We discuss the diagnostic and prognostic value of (multi-) omics panels. We have a closer look at breast cancer survival and treatment outcome, as case example, using gene expression panels - and we will discuss the current "best practice" in the light of critical statistical considerations. In addition, we introduce computational approaches for network-based medicine. We discuss novel developments in graph-based machine learning using examples ranging from Huntington's disease mechanisms via Alzheimer's drug target discovery back to where we started, i.e. breast cancer treatment optimization - but now from a systems medicine point of view.
We conclude that multi-scale network medicine and modern artificial intelligence open new avenues to shape future medicine. We will also have a short glimpse on novel approaches for privacy-aware sensitive medical data sharing. We quickly introduce the concept of federated machine learning and blockchain-based consent management to build a Medical AI Store ensuring privacy by design and architecture.

The event is free of charge, registration is not necessary.