Tissue engineering is a discipline based on cell biology and materials science with the primary goal of rebuilding and regenerating lost and damaged tissues and organs. Tissue engineering has developed rapidly in recent years, while scaffolds, growth factors, and stem cells have been successfully used for the reconstruction of various tissues and organs. However, time-consuming production, high cost, and unpredictable tissue growth still need to be addressed. Machine learning is an emerging interdisciplinary discipline that combines computer science and powerful data sets, with great potential to accelerate scientific discovery and enhance clinical practice. The convergence of machine learning and tissue engineering, while in its infancy, promises transformative progress. This paper will review the latest progress in the application of machine learning to tissue engineering, summarize the latest applications in biomaterials design, scaffold fabrication, tissue regeneration, and organ transplantation, and discuss the challenges and future prospects of interdisciplinary collaboration, with a view to providing scientific references for researchers to make greater progress in tissue engineering and machine learning.
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Open Access
Review
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Open Access
Research Article
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Calvatia gigantea (CG) is widely used as a traditional Chinese medicine for wound treatment. In this study, we aimed to determine the effects of CG extract (CGE) on diabetic wound healing and the commensal wound microbiome.
A wound model was established using leptin receptor-deficient db/db mice, with untreated mice as the control group and CGE-treated mice as the treatment group. The wound healing rate, inflammation and histology were analyzed. Additionally, wound microbiome was evaluated via 16S ribosomal RNA (rRNA) gene sequencing.
CGE significantly accelerated the healing of diabetic ulcer wounds, facilitated re-epithelialization, and downregulated the transcription levels of the inflammatory cytokines, interleukin-1β and tumor necrosis factor-α. Furthermore, CGE treatment positively affected the wound microbiome, promoting diversity of the microbial community and enrichment of Escherichia–Shigella bacteria in the CGE-treated group.
Overall, CGE enhanced diabetic wound healing by modulating the wound microbiome and facilitating macrophage polarization during inflammation. These findings suggest modulation of the commensal wound microbiome using medicinal plants as a potential therapeutic strategy for diabetic wounds.
Open Access
Review
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Hypertrophic scars (HS) represent a significant clinical challenge due to their complex pathophysiology and resistance to conventional therapies, often resulting in persistent symptoms such as itching, pain, and impaired joint mobility that compromise patients’ quality of life. Current treatment modalities, including compression therapy, pharmacological agents, radiation, silicone gel, and laser therapies, have faced limitations primarily due to inadequate drug penetration into the dense fibrotic scar tissue. In this context, microneedle-mediated controlled delivery systems have emerged as a promising pharmaceutical platform to enhance localized and sustained delivery of therapeutic agents, including small-molecule drugs, biologic proteins, small interfering RNA, and living cells, directly into HS. This article critically reviews the biological and formulation-related challenges associated with transdermal delivery in scar tissue and highlights recent innovations in microneedle design, material selection, and drug-loading techniques tailored for controlled release applications. Furthermore, it discusses the integration of proteins and cell-based therapies within microneedle platforms and their potential to modulate scar remodeling and inflammation. By addressing current limitations and exploring cutting-edge technologies, this review article aims to guide the development of effective microneedle-mediated strategies for pharmaceutical intervention in hypertrophic scar management.
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