Special Issue on AI-Enabled Regenerative Medicine, Bioactive Materials and Tissue Repair for Surgical Applications

Introduction

Recent advances in regenerative medicine, bioactive materials, tissue engineering, and digital technologies are rapidly transforming the treatment of tissue defects and organ dysfunction. The convergence of biomaterials science, stem cell biology, artificial intelligence (AI), computational modeling, advanced manufacturing, and surgical sciences is creating innovative strategies to improve tissue regeneration, personalized therapies, and clinical outcomes.

Artificial intelligence is increasingly contributing to regenerative medicine by supporting biomaterial design, predicting tissue regeneration, optimizing scaffold architecture, analyzing medical imaging, guiding surgical planning, and facilitating precision medicine approaches. Likewise, intelligent biomaterials, machine learning algorithms, computational tissue models, and digital health technologies are accelerating the translation of regenerative therapies from laboratory research to clinical practice.

This Special Issue aims to provide a comprehensive overview of cutting-edge interdisciplinary research at the interface between regenerative medicine, bioactive materials, tissue engineering, and surgical applications. We welcome original research articles, systematic reviews, meta-analyses, short communications, and perspective papers addressing innovative approaches for tissue repair and regeneration across multiple clinical disciplines.

Particular emphasis will be placed on bioactive and intelligent biomaterials, AI-assisted regenerative strategies, computational approaches, advanced manufacturing technologies, translational research, and clinical applications that contribute to the future of regenerative therapies.

Topics Covered

• Regenerative Medicine for Surgical Applications
• Bioactive Materials and Intelligent Biomaterials
• Tissue Engineering and Tissue Repair
• Artificial Intelligence in Regenerative Medicine
• AI-Assisted Surgical Planning and Regenerative Surgery
• Machine Learning for Biomaterials Design
• Computational Modeling of Tissue Regeneration
• Digital Twins and Predictive Models for Tissue Repair
• Stem Cell-Based Therapies
• Adipose-Derived Stem Cells and Stromal Vascular Fraction
• Autologous Micrografts and Tissue Progenitor Cells
• Fibroblast-Based Regenerative Therapies
• Extracellular Vesicles and Exosomes
• Platelet-Rich Plasma (PRP) and Blood-Derived Products
• Growth Factors and Cell Signaling
• Biomaterials and Bioactive Scaffolds
• Smart Biomaterials and Responsive Scaffolds
• 3D Bioprinting and Advanced Manufacturing
• Additive Manufacturing for Regenerative Medicine
• Skin Regeneration and Wound Healing
• Bone and Cartilage Tissue Engineering
• Craniofacial and Maxillofacial Regeneration
• Peripheral Nerve Regeneration
• Soft Tissue Reconstruction
• Fat Grafting and Cell-Assisted Lipotransfer
• Precision and Personalized Regenerative Medicine
• Translational and Clinical Studies
• Regulatory, Ethical and Clinical Translation of Regenerative Technologies

Important Deadline

Submission deadline: 31 March 2027

Submission Instructions

Please read the Guide for Authors before submitting your manuscript. All articles should be submitted online. Please select "AI-Enabled Regenerative Medicine" when choosing the Special Issue during submission.

Guest Editors

• Prof. Pietro Gentile, MD, PhD

Associate Professor of Plastic and Reconstructive Surgery

Department of Surgical Sciences

University of Rome Tor Vergata

Rome, Italy

Email: pietrogentile2004@libero.it

• Prof. Dr. Daniel Del Vecchio

Affiliation: Massachusetts General Hospital, Boston, United States

Email: dandelvecchio@aol.com

• Prof. Dr. Steven Roy Cohen

FACES Plastic Surgery, San Diego, United States

Email: scohen@facesplus.com