DMEA

Trade fair / April 25, 2023 - April 27, 2023

DMEA 2023

Best of Digital Health

We look forward to welcoming you to the DMEA 2023 - Europe's leading event for Digital Health - from 25 to 27 April 2023 in the Berlin exhibition halls.

Event details

Program

FHIR-enabled Smart Machine Learning platform

Image-based diagnostic methods deliver a multitude of analysis parameters. We utilize Smart Machine Learning, because our profound understanding of the problem to be solved enables us to choose the best combination of traditional methods and modern deep learning approaches. Our analysis methods, shown in a sample of different indications, can be easily integrated into third-party tools via an FHIR (Fast Healthcare Interoperability Resources) interface.

Smartphone-based prick test analysis

Skin prick testing – also known as allergy testing – is the clinical standard for detecting hypersensitivity reactions to substances such as pollen. To enhance the comparability of the results and simplify the evaluation, Fraunhofer IGD has developed an app in which an image of the forearm is taken with a mobile device. The wheals (and redness) are then determined and quantified on the basis of this image.

Guardio®

Guardio® uses a smartphone app to record the movements of the human heart (so-called “seismocardiograms”) and transforms them into multichannel ECGs. In this way, Guardio® enables ECGs to be recorded without the need for any electrodes to be attached and without direct skin contact. Guardio® facilitates both rhythmological and morphological diagnostics of cardiovascular diseases. The Guardio founding team (Exist research transfer project HeartAI at the Fraunhofer Institute for Computer Graphics Research in Rostock) presents applications with which patients can record diagnostic multichannel ECGs at any time on their own smartphones and then submit them to their physician. This results in detection of cardiovascular diseases at an earlier stage, thereby mitigating human suffering and helping to keep healthcare costs down.

To the Guardio® website

Cohort analysis for personalized medicine

One pillar of personalized treatment is the analysis of patient data through the formation of cohorts. Fraunhofer IGD works in close collaboration with clinicians to develop tools for visual-interactive data analysis. We show results from a research project in nephrology and another cohort analysis in the field of inflammatory bowel disease. Here, the combination of visual and analytical methods supports decision-making in diagnosis and validation of treatment.

Cybersecurity for digital transformation in medicine

Digital transformation in the healthcare industry is one of the biggest challenges that society, business and government has faced in recent decades. However, it is also an essential prerequisite for personalized medicine, digital twinning and telemedicine. As the use of information technology in the healthcare sector increases, new risks in the areas of cybersecurity and data protection are also emerging.

Location

Berlin, Germany