The article reviews the advancements in melt electrowriting (MEW) technology for fabricating biomaterial scaffolds, highlighting its potential in tissue engineering and regenerative medicine. MEW has evolved to offer precise control over scaffold architecture, porosity, and mechanical properties, which are crucial for modulating cellular behavior. The review covers the use of various biomaterials, including polycaprolactone (PCL) and other polymers, and the incorporation of biologics such as growth factors and cytokines. It discusses the importance of surface modifications and the integration of cells and biomolecules into MEW scaffolds. The article also explores the impact of scaffold architecture on cell behavior, including the use of crosshatch, sinusoidal, and auxetic structures. Computational modeling and prediction tools are emphasized for understanding and optimizing cell proliferation and tissue growth. The future directions include the integration of dynamic bioreactor systems and the application of artificial intelligence (AI) to enhance the design and optimization of MEW scaffolds. The multidisciplinary approach combining materials science, computational modeling, AI, bioprinting, and dynamic culture systems is highlighted as essential for advancing the field of tissue engineering and regenerative medicine.The article reviews the advancements in melt electrowriting (MEW) technology for fabricating biomaterial scaffolds, highlighting its potential in tissue engineering and regenerative medicine. MEW has evolved to offer precise control over scaffold architecture, porosity, and mechanical properties, which are crucial for modulating cellular behavior. The review covers the use of various biomaterials, including polycaprolactone (PCL) and other polymers, and the incorporation of biologics such as growth factors and cytokines. It discusses the importance of surface modifications and the integration of cells and biomolecules into MEW scaffolds. The article also explores the impact of scaffold architecture on cell behavior, including the use of crosshatch, sinusoidal, and auxetic structures. Computational modeling and prediction tools are emphasized for understanding and optimizing cell proliferation and tissue growth. The future directions include the integration of dynamic bioreactor systems and the application of artificial intelligence (AI) to enhance the design and optimization of MEW scaffolds. The multidisciplinary approach combining materials science, computational modeling, AI, bioprinting, and dynamic culture systems is highlighted as essential for advancing the field of tissue engineering and regenerative medicine.