Aims and Scope

FMDB Transactions on Sustainable Biomedical Engineering (FTSBE) provides a dedicated platform for publishing high-quality research in the field of biomedical engineering and the development of biomedical devices. The journal emphasizes studies that involve the design, implementation, and application of innovative and existing biomedical technologies, as well as the creation of new materials and devices aimed at improving healthcare outcomes. FTSBE focuses on recent advancements in biomedical technology, instrumentation, and healthcare systems, addressing both theoretical and practical challenges. The scope of the journal includes the development of medical technologies, the integration of engineering solutions into public health systems, improvements in hospital management and patient care, and advancements in diagnostic and therapeutic methods. It also highlights research related to biomedical data management, including information storage and retrieval systems. FTSBE serves as a valuable resource for engineers, researchers, designers, and healthcare professionals seeking evidence-based innovations and practical solutions. It encourages interdisciplinary collaboration across medicine, engineering, and technology fields. Additionally, the journal supports the dissemination of research addressing long-standing industry challenges and presenting effective solutions, thereby contributing to the continuous evolution of biomedical engineering and healthcare practices.

Topics include, but are not limited to, the following areas:

• Tissue Engineering/Regenerative Medicine with AI-driven modeling
• Bioinformatics and Computational Biology for genomic analysis
• Molecular and Protein Engineering using computational simulations
• Biomechanics and Mechanobiology with data-driven modeling
• Intelligent Diagnostic Tools using Machine Learning algorithms
• Biomedical Signal Processing with real-time data analytics
• AI-powered Medical Imaging and Computer Vision techniques
• Smart Drug Delivery Systems using predictive algorithms
• 3D Bioprinting integrated with Computer-Aided Design
• Nanomedicine and Nano-informatics for precision healthcare
• Cellular Engineering supported by computational modeling
• Proteomics and Computational Genomics using big data analytics
• Smart Biomaterials with embedded sensors and IoT systems
• Wearable Health Devices and Internet of Medical Things
• Neuroengineering and Brain–Computer Interfaces using AI