Revolutionary Treatment

Smart Microrobotic Swarms for Aneurysm Treatment

Revolutionizing Aneurysm Treatment with Smart Robotic Technology

About the Smart Microrobotic Swarms for Aneurysm Treatment

The “Smart Microrobotic Swarms for Aneurysm Treatment” project aims to create a microrobotic platform using magnetic microgels for precise, image-guided endovascular embolization of aneurysms. This method enhances safety and accuracy in minimally invasive surgery and is funded by the Research Grant Council of Hong Kong (RIF scheme).
Microrobotic Swarms

Rationale

Aneurysms, characterized by the abnormal bulging of blood vessel walls, pose a significant health threat due to the risk of rupture and life-threatening internal bleeding. Each year, aortic aneurysms alone account for over 150,000 deaths worldwide, with few effective treatment options available. Current methods, such as open surgery and endovascular procedures, often result in high complication rates, inadequate filling, and long-term instability. There is an urgent need for safer, more effective, and minimally invasive treatments to reduce mortality and improve patient outcomes. 


Our project addresses this critical need by developing a microrobotic platform that utilizes swarming magnetic microgels for targeted, image-guided endovascular embolization of aneurysms. This innovative approach integrates advanced magnetic control with self-healing hydrogels, enabling precise, on-demand embolization while minimizing complications and enhancing the treatment’s long-term stability. By combining advances in robotic technology, materials science, and medicine, our project aims to revolutionize aneurysm treatment, providing a safer and more reliable alternative to existing methods and meeting an urgent healthcare demand.

Objective

Objective 1

To study and optimize the pH-responsive self-healing ability of magnetic microgels for safe and effective embolization under physiological conditions.

Objective 2

To develop and refine a microrobotic platform for the image-guided, magnetic control and delivery of microgel swarms within blood vessels.

Objective 3

To evaluate the in vivo performance, long-term stability, and safety of magnetic microgels in animal models to confirm their suitability for clinical application.

Objective 4

To collaborate with clinical and industrial partners to validate the microrobotic platform’s feasibility and prepare for future preclinical and clinical trials.

Significance

The outcomes of this project will benefit patients suffering from aneurysms by providing a safer, more effective, and minimally invasive treatment option. By using swarming magnetic microgels for targeted embolization, the microrobotic platform offers precise control, reduced risk of complications, and improved long-term stability compared to current methods. Once validated and commercialized, this technology could extend to other vascular conditions requiring targeted embolization, ultimately transforming endovascular interventions and significantly enhancing patient outcomes.

Impact

The outcomes of the proposed project will position Hong Kong as a leader in innovative medical technologies, specifically in microrobotics for vascular interventions. This pioneering research will contribute to global advancements in minimally invasive surgery, strengthen the local biomedical industry, and attract international collaboration. Furthermore, the project will provide invaluable opportunities for training the next generation of scientists, engineers, and medical professionals in cutting-edge microrobotics, fostering a skilled workforce to support future medical and technological innovations in Hong Kong and beyond.

Publication

  1. D. D. Jin, Q. L. Wang, K. F. Chan, N. Xia, H. J. Yang, Q. Q. Wang, S. C. H. Yu* and L. Zhang*, Swarming self-adhesive microgels enabled aneurysm on-demand embolization in physiological blood flow, Science Advances, Vol 9, Issue 19, adf9278, 2023. 
  2. Q. L. Wang^, Q. Q. Wang^, Z. P. Ning, K. F. Chan, J. L. Jiang, Y. Q. Wang, L. Su, S. Jiang, B. Wang, B. Y. M. Ip*, H. Ko, T. W. H. Leung, P. W. Y. Chiu, S. C. H. Yu, L. Zhang*, Tracking and Navigation of a Microswarm Under Laser Speckle Contrast Imaging for Targeted Delivery, Science Robotics, Vol. 9, Issue 87, eadh1978, 2024. 
  3. B. Hao^, X. Wang^, Y. Dong^*, M. M. Sun, C. Xin, H. J. Yang, Y. F. Cao, J. Q. Zhu, X. R. Liu, C. Zhang, L. Su, B. Li* and L. Zhang*, Focused Ultrasound Enables Selective Actuation and Newton-level Force Output of Untethered Soft Robots, Nature Communications, Vol. 15, 5197, 2024. 
  4. L. D. Yang, J. L. Jiang, F. T. Ji, Y. M. Li, K. L. Yung, A. Ferreira, L. Zhang*, Machine Learning For Micro- And Nanorobots, Nature Machine Intelligence, Vol. 6, 605-618, 2024.