Abstract：
Contemporary medical research increasingly focuses on the blood-brain barrier (BBB) to maintain homeostasis in healthy individuals and provide solutions for neurological disorders, including brain cancer. Specialized in vitro modules replicate the BBB\'s complex structure and signalling using micro-engineered perfusion devices and advanced 3D cell cultures, thus advancing the understanding of neuropharmacology. This research explores nanoparticle-based biomolecular engineering for precise control, targeting, and transport of theranostic payloads across the BBB using nanorobots. The review summarizes case studies on delivering therapeutics for brain tumors and neurological disorders, such as Alzheimer\'s, Parkinson\'s, and multiple sclerosis. It also examines the advantages and disadvantages of nano-robotics. In conclusion, integrating machine learning and AI with robotics aims to develop safe nanorobots capable of interacting with the BBB without adverse effects. This comprehensive review is valuable for extensive analysis and is of great significance to healthcare professionals, engineers specializing in robotics, chemists, and bioengineers involved in pharmaceutical development and neurological research, emphasizing transdisciplinary approaches.
摘要：
当代医学研究越来越关注血脑屏障（BBB），以维持健康个体的稳态，并为神经系统疾病提供解决方案。包括脑癌.专门的体外模块使用微工程灌注装置和先进的3D细胞培养物复制BBB的复杂结构和信号，从而推进对神经药理学的理解。这项研究探索了基于纳米颗粒的生物分子工程，以实现精确控制，瞄准,以及使用纳米机器人在BBB中运输治疗性有效载荷。这篇综述总结了为脑肿瘤和神经系统疾病提供治疗的案例研究，比如阿尔茨海默氏症，帕金森,和多发性硬化症。它还研究了纳米机器人的优缺点。总之,将机器学习和AI与机器人技术集成旨在开发能够与BBB相互作用而不会产生不利影响的安全纳米机器人。这项全面的审查对于广泛的分析很有价值，对医疗保健专业人员具有重要意义，专门从事机器人技术的工程师，化学家,和参与药物开发和神经学研究的生物工程师，强调跨学科方法。
