EDITORIAL
Published on 10 Jun 2026
Editorial: AI and big data integration in orthopedic regenerative medicine
doi 10.3389/fcell.2026.1892774
- 473 views
- Frontiers in Cell and Developmental Biology
- Stem Cell Research
- Research Topics
- AI and Big Data Integration in Orthopedic Regenerative Medicine
AI and Big Data Integration in Orthopedic Regenerative Medicine
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Articles
MINI REVIEW
Published on 09 Jun 2026
Artificial intelligence in orthopedic regenerative medicine: from design to clinical translational pathways
doi 10.3389/fcell.2026.1863190
- 712 views
ORIGINAL RESEARCH
Published on 29 May 2026
AI dialogues in cartilage repair: which guides evidence-based decisions better?
doi 10.3389/fcell.2026.1768270
- 962 views
ORIGINAL RESEARCH
Published on 15 May 2026
AI-driven reconstruction of the evidence architecture of hydrogel-based intervertebral disc repair research
doi 10.3389/fcell.2026.1860034
- 960 views
MINI REVIEW
Published on 30 Apr 2026
Multimodal data integration in orthopedic regenerative medicine: bridging imaging, omics, and clinical data
doi 10.3389/fcell.2026.1842186
- 1,103 views
ORIGINAL RESEARCH
Published on 17 Feb 2026
AI and big data driven knowledge mapping of exosome–hydrogel research in orthopedic regeneration and tissue engineering
doi 10.3389/fcell.2026.1786225
- 1,097 views
REVIEW
Published on 05 Jan 2026
AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
doi 10.3389/fcell.2025.1755565
- 5,313 views
- 16 citations
OPINION
Published on 11 Dec 2025
The AI-driven blueprint: decoding intervertebral disc repair mechanisms for intelligent biomaterial design
doi 10.3389/fcell.2025.1751851
- 1,883 views
- 2 citations
ORIGINAL RESEARCH
Published on 11 Dec 2025
Identification of shared lactylation-related gene signatures between osteoporosis and chronic kidney disease
doi 10.3389/fcell.2025.1719273
- 2,241 views
- 1 citation
Published in
Frontiers in Cell and Developmental Biology
Stem Cell Research
Other participating journals
Frontiers in Genetics
- 3.0 impact factor
- 6.9 citescore