Wissen schaffen für Wissenstransfer
zu molekularen Mechanismen der muskuloskelettalen Regeneration des Bewegungsapparats – Entwicklung KI-basierter Modelle muskulo-skelettaler Regeneration mit Einzelzell-Multi-OMICS.
AI-BOOST ist ein EU co-finanziertes Wissenstransfer-Forschungsprojekt vom 01.01.2025 – 31.12.2028.
AI-BOOST is an EU co-financed knowledge transfer research project running from 01.01.2025 – 31.12.2028.
“Building Knowledge for Knowledge Transfer” on molecular mechanisms of musculoskeletal regeneration in common age- and stress-related injuries of the musculoskeletal system—based on state-of-the-art bioinformatically processed single-cell multi-omics data.
Research focus areas
AI-Lab
A virtual AI knowledge transfer lab testing short tutorials to get started with AI-boosted knowledge transfer - check our current tutorials on INSTAGRAM
Work Package I
pmu.ac.at
Understanding 3D chondrogenesis (CH3D) by bone-regeneration-competent stem cells in a proprietary model system using single-cell multi-omics and imaging mass cytometry for spatial and temporal resolution of gene expression in 3D.
Work Package II
pmu.ac.at
Achilles tendinopathy (AT) is the most common tendon disorder of the lower extremities, affecting up to 6% of the general population and up to 50% of elite athletes. Most attempts to improve treatment approaches fail due to an incomplete understanding of the underlying molecular and cellular mechanisms.
Work Package III
plus.ac.at
AI-based models have transformed many aspects of daily life as well as science.
Work Package IV
Organization, coordination, dissemination, knowledge transfer
AI-HUB
The overarching goal of the project is to lay the groundwork for establishing a sustainable AI knowledge transfer hub in Salzburg based on international best practice.
