Projects
Source: https://digitalhealth.tu-dresden.de/projects/ Parent: https://digitalhealth.tu-dresden.de/career-education/students/clinicum-digitale/
We bring together the expertise of medical professionals and high-tech specialists to create ideal framework conditions for promising medical research.
The EKFZ for Digital Health supports Interdisciplinary Innovation Projects (IIPs). IIP funds are institutional seed funds designed to quickly build new collaborations and test new ideas. IIPs support the road to a “proof-of-concept” that allows these teams to go on to acquire third-party or industry funds to translate their ideas into clinical practice.
The EKFZ functions as an accelerator for the local eHealth network. To make digital health work and to strive for excellence, we need to overcome the traditional boundaries of medicine, engineering and computer science and establish a new structured research interdisciplinarity. With regular symposia, multiplier and public events and workshops the EKFZ strengthens the eHealth network in Dresden and Saxony. This contributes to a lively and interactive eHealth network on the Dresden campus.
Interdisciplinary Innovation Projects
We support innovative interdisciplinary research projects from the idea to the prototype.
eHealth Network
Many minds – one team. The EKFZ functions as the connecting link to bring digital health into clinical practice.
Joint Projects
ASSESS DHT
Development and harmonization of methodologies for assessing digital health technologies in Europe
CYMEDSEC
Enhanced cybersecurity for networked medical devices through optimisation of guidelines, standards, risk management and security by design
IntelliLung
Artificial intelligence to help optimize ventilation of intensive care patients.
DECADE
Decentralized AI for diag-nosis, prognostication and response prediction in CRC
KIMEDS
Artificial Intelligence assisted certification of medical software
ODELIA
Open Source Swarm Learning to Empower Medical AI
PATH
Personal Mastery Health & Wellness Data
Tangerine
AI-based end-to-end prediction of cancer immunotherapy response
Transform Liver
Scaling up Vision Transformers for Biomarkers in Liver Disease
SEMECO
Secure Medical Microsystems and Communications
DECIPHER-M
Deciphering Metastasis with Multimodal Artificial Intelligence Foundation Models