Mahdi Jaber

ORCID: 0000-0003-1037-2353
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About
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Research Areas
  • Orthopaedic implants and arthroplasty
  • Bone fractures and treatments
  • Mesenchymal stem cell research
  • Bioinformatics and Genomic Networks
  • Biomedical Text Mining and Ontologies
  • Bone Tissue Engineering Materials
  • Biomedical and Engineering Education

Berlin Institute of Health at Charité - Universitätsmedizin Berlin
2022-2024

Berlin-Brandenburger Centrum für Regenerative Therapien
2022

The treatment of large bone defects represents a major clinical challenge. 3D printed scaffolds appear as promising strategy to support defect regeneration. design such impacts the healing path and thus regeneration potential. Among others, scaffold architecture has been shown influence outcome. Gyroid architecture, characterized by zero mean surface curvature, discussed for However, whether gyroid are favourable in over traditional strut-like remains unknown. Therefore, aim this study was...

10.3389/fbioe.2022.995266 article EN cc-by Frontiers in Bioengineering and Biotechnology 2022-09-23

Bone has the fascinating ability to self-regenerate. However, under certain conditions, such as type 2 diabetes mellitus (T2DM), this is impaired. T2DM a chronic metabolic disease known by presence of elevated blood glucose levels that associated with reduced bone regeneration capability, high fracture risk, and eventual non-union risk after fracture. Several mechanical biological factors relevant have been shown be affected in diabetic environment. whether impaired can explained due or...

10.1002/jbm4.10809 article EN cc-by JBMR Plus 2023-10-02

Treatment of bone fractures are standardized according to the AO classification, which mainly refers mechanical stabilization required in a given situation but neglect individual differences due patient's healing potential or accompanying diseases. Specially elderly immune-compromised patients, complexity constrains on biological as well level hard account for. Here, we introduce novel framework that allows predict regeneration outcome using combined proteomic and analyses computer model....

10.2139/ssrn.4831401 preprint EN 2024-01-01
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