AL Approach in Tissue Engineering Constructs in Nano Science Using Feature Engineering
Keywords:
Artificial Intelligence (AI), Tissue Engineering, Nanoscience, Feature Engineering, Biomimetic Constructs, Nanomaterials, Predictive Modeling, Decision Support Systems, Optimization, Interdisciplinary Collaboration.Abstract
Tissue engineering, at the intersection of biology, materials science, and nanotechnology, has witnessed remarkable advancements in recent years. This paper presents an innovative approach leveraging Artificial Intelligence (AI) techniques, specifically focusing on feature engineering, to design and optimize tissue engineering constructs within the realm of nanoscience. The integration of AI aims to enhance predictive modeling, decision support systems, and optimization processes, thereby revolutionizing the way we engineer biomimetic tissues. In this study, we explore the synergy between AI and nanoscience, employing nanomaterials and nanoscale features to augment the mechanical, chemical, and biological properties of tissue constructs. Feature engineering becomes a pivotal component of this approach, involving the identification, extraction, and optimization of key features that influence the performance of engineered tissues. The paper delves into the interdisciplinary collaboration between AI experts, nanoscientists, and tissue engineers, emphasizing the need for a comprehensive and cohesive methodology. We discuss the challenges associated with data-driven design, ethical considerations, and safety concerns, ensuring a responsible and sustainable integration of AI into tissue engineering practices. Emerging technologies such as generative models and reinforcement learning are explored for their potential in creating novel nanomaterial designs and enabling adaptive optimization processes. The proposed approach envisions a feedback loop system, where AI continuously learns and adapts based on real-time experimental feedback, fostering a dynamic and responsive tissue engineering paradigm. Validation strategies, encompassing experimental design and benchmarking, are presented to establish the reliability and accuracy of AI-generated predictions. The paper concludes by highlighting the transformative potential of this AI-driven feature engineering approach in revolutionizing tissue engineering, opening new avenues for the design and fabrication of advanced, biomimetic constructs tailored for diverse medical applications.
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References
Sheridan, Mark, et al. "Biomaterials: Antimicrobial surfaces in biomedical engineering and healthcare." Current Opinion in Biomedical Engineering 22 (2022): 100373.
Owida, Hamza Abu, et al. "Recent applications of electrospun nanofibrous scaffold in tissue engineering." Applied Bionics and Biomechanics 2022 (2022).
Wan, Xingyi, et al. "Emerging polymeric electrospun fibers: From structural diversity to application in flexible bioelectronics and tissue engineering." Exploration. Vol. 2. No. 1. 2022.
Benko, Aleksandra, et al. "Green nanotechnology in cardiovascular tissue engineering." Tissue Engineering. Academic Press, 2022. 237-281.
Sood, Ankur, et al. "Enzyme-Triggered Crosslinked Hybrid Hydrogels for Bone Tissue Engineering." Materials 15.18 (2022): 6383.
Liu, Hao, et al. "Filamented Light (FLight) Biofabrication of Highly Aligned Tissue‐engineered Constructs." Advanced Materials 34.45 (2022): 2204301.
Kumar, Anuj, Ankur Sood, and Sung Soo Han. "Molybdenum disulfide (MoS 2)-based nanostructures for tissue engineering applications: prospects and challenges." Journal of Materials Chemistry B 10.15 (2022): 2761-2780.
Soroush, E., et al. "Polysaccharides-based nanofibrils: From tissue engineering to biosensor applications." Carbohydrate Polymers 291 (2022): 119670.
Maia, F. Raquel, et al. "Recent approaches towards bone tissue engineering." Bone 154 (2022): 116256.
El-Husseiny, Hussein M., et al. "Smart/stimuli-responsive hydrogels: Cutting-edge platforms for tissue engineering and other biomedical applications." Materials Today Bio 13 (2022): 100186.
Fardjahromi, M. Asadniaye, et al. "Metal-organic framework-based nanomaterials for bone tissue engineering and wound healing." Materials Today Chemistry 23 (2022): 100670.
Atwa, Ahmed, et al. "Biodegradable materials from natural origin for tissue engineering and stem cells technologies." Handbook of Biodegradable Materials. Cham: Springer International Publishing, 2022. 1-40.
Abpeikar, Zahra, et al. "Engineered cells along with smart scaffolds: critical factors for improving tissue engineering approaches." Regenerative Medicine 17.11 (2022): 855-876.
Paladini, Federica, and Mauro Pollini. "Novel approaches and biomaterials for bone tissue engineering: a focus on silk fibroin." Materials 15.19 (2022): 6952.
Dasari, Akshith, Jingyi Xue, and Sanjukta Deb. "Magnetic nanoparticles in bone tissue engineering." Nanomaterials 12.5 (2022): 757.
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