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Inhalt
WP1 – 3D disease models: stem cells – organoids – materials – molecules
WP2 – Innovative concepts for Personalized Medicine
CT1 – High-content analytics in Personalized Medicine
CT2 – Applied Computing Science for Organoids and Personalized Medicine
Work package 1 - 3D disease models: stem cells – organoids – materials – molecules
Project RR01 – John Jbeily, Rüdiger Rudolf:
Interplay between differentiation and metabolism in neuromuscular organoid
Project KB01 – Mahdieh Yarmohammadi, Karen Bieback:
3D human adipose tissue model containing immune cells for disease modeling
Project RR02 – Wiebke Zimmer, Rüdiger Rudolf:
Mechanisms of Bone Metastasis – Molecules, Models and Technologies
Project VS01 – Saheli Saha, Vytaute Starkuviene-Erfle:
Targeted modification of 3D cell cultures
Project CSU01 – Annabelle Sonn, Christine Selhuber-Unkel:
Materials and surfaces for directed stem cell differentiation
Work package 2 - Innovative concepts for Personalized Medicine
Project NR01 – Emma Sohn, Nicole Rotter:
High throughput analysis of organotypic cocultures for personalised therapy of head and neck tumors
Project ML01 – Soria Gasparini, Michael Lanzer:
Automated and personalized tropical medical diagnostics
Project MP01 – Alina Paul, Michael Platten:
Decoding T cell Dynamics in Brain Tumors: The Role of the Meningeal Niche
Cross-section technology 1 - High-content analytics in Personalized Medicine
Project MR01– Björn van Marwick, Matthias Rädle:
Multispectral technologies for high throughput analysis of organotypical cultures
Project PWe01– Richard Frey, Philipp Weller:
On-line analysis of volatile compounds in 2D and 3D cell cultures
Project PW01– Daniele Gueiber, Phillipp Wiedemann:
Automated Device for the Detection of intra- and extra-cellular Parasites
Project CH01 – Gentiane Krasniqi, Carsten Hopf:
Role of protein N-glycosylation and metabolism in neuropathology incl. amyloid pathology
Cross-section technology 2 - Applied Computing Science for Organoids and Personalised Medicine
Project OW01 – Philipp Weigand, Oliver Wasenmüller:
AI-based Models for multi-omic data analysis and automated evaluation