Machine Learning for the Automated Selection and Reconstruction of Multi-Modal Nanotomography Data of Bone-Implant Interfaces

DASHH Doctoral Researcher: Benedict Schacht

Supervisors: Dr. Imke Greving (Hereon), Dr. Berit Zeller-Plumhoff (Hereon), Dr. Christian Wilms (UHH), Prof. Simone Frintrop (UHH)

In an aging society, novel materials are required to support bone regeneration to alleviate the socioeconomic costs associated with bone traumata. Due to their biocompatibility and biodegradability, magnesium (Mg)-based implants present a powerful alternative to traditional titanium (Ti) in this respect. By applying state-of-the-art methods from physics and artificial intelligence (AI), we will advance the mechanistic knowledge of bone mineralization surrounding biodegradable Mg-based implants and titanium implants. To this end, this project combines high-resolution imaging and structural analysis with machine learning for efficient data generation and analysis.