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All Journal Journal of Biomedical and Techno Nanomaterials Scientechno: Journal of Science and Technology
Shahinur Rahman
Dhaka International University
Biochemistry, Genetics & Molecular Biology

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BIO-FABRICATION OF A PRE-VASCULARIZED SKIN GRAFT USING A CO-AXIAL ELECTROSPINNING TECHNIQUE AND ENDOTHELIAL PROGENITOR CELLS Shahinur Rahman; Shakib Ahmed; Zahidul Islam
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i5.2976

Abstract

Severe skin injuries caused by burns, chronic wounds, and trauma remain a major clinical challenge due to limited graft survival and delayed vascular integration following transplantation. Insufficient early vascularization frequently leads to ischemia and graft failure, restricting the effectiveness of conventional tissue-engineered skin substitutes. This study aims to develop a pre-vascularized skin graft using a co-axial electrospinning technique integrated with endothelial progenitor cells to enhance early vascular functionality and graft viability. An experimental biofabrication approach was employed, involving the fabrication of core–shell electrospun fibrous scaffolds, encapsulation of endothelial progenitor cells, and comprehensive structural and biological evaluation in vitro. Scaffold morphology, porosity, and integrity were characterized, followed by assessment of cell viability, proliferation, endothelial marker expression, and formation of vascular-like networks. The results demonstrated that co-axial electrospinning produced uniform, highly porous fibrous scaffolds capable of maintaining endothelial progenitor cell viability and supporting their angiogenic behavior. Encapsulated cells exhibited sustained proliferation and organized into capillary-like structures within the scaffold matrix, while scaffold architecture remained structurally stable. These findings indicate that the proposed biofabrication strategy enables intrinsic pre-vascularization of engineered skin grafts prior to implantation. In conclusion, co-axial electrospinning combined with endothelial progenitor cells represents a promising and scalable approach for generating pre-vascularized skin grafts, with significant potential to improve graft integration and clinical outcomes in regenerative skin therapy.
AN AI-BASED ADAPTIVE LEARNING PLATFORM FOR PERSONALIZED STEM EDUCATION IN INDONESIAN HIGH SCHOOLS Nong Chai; Shahinur Rahman; Tasnia Islam; Ruhul Amin
Scientechno: Journal of Science and Technology Vol. 5 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v5i1.2639

Abstract

In recent years, the demand for personalized education has increased, particularly in Science, Technology, Engineering, and Mathematics (STEM) fields, where students’ learning needs vary significantly. In Indonesia, traditional classroom-based teaching methods struggle to accommodate the diverse learning styles and paces of students. With the rise of Artificial Intelligence (AI), there is a growing opportunity to design adaptive learning platforms that provide personalized learning experiences. However, such platforms are still underutilized in Indonesian high schools, especially in STEM education. This study aims to develop and evaluate an AI-based adaptive learning platform tailored to personalized STEM education for high school students in Indonesia. The platform’s primary goal is to enhance student engagement and academic performance by adapting learning materials and strategies based on individual student progress and preferences. The research utilized a design-based methodology, developing the platform using AI algorithms to monitor and adjust content delivery according to the student’s learning pace, strengths, and weaknesses. A quasi-experimental design was employed, with pre- and post-assessments conducted to evaluate the effectiveness of the platform in a sample of 200 high school students across four Indonesian schools. The platform significantly improved student engagement, with a 15% increase in STEM learning outcomes. Students demonstrated higher retention rates and improved problem-solving abilities, especially in mathematics and science. The AI-based adaptive learning platform proves to be a promising tool for personalized STEM education, enhancing both student learning experiences and academic performance in Indonesian high schools.
Co-Authors Nong Chai Ruhul Amin Shakib Ahmed Tasnia Islam Zahidul Islam