Advancements in Soft Robotic Implants for Long-Term Drug Delivery and Tissue Monitoring

Ajay Yadav; Vishal Rai; Shekhar Singh; Akanksha Kanojia

doi:10.55544/jrasb.3.4.5

Authors

Ajay Yadav Department of Pharmacy, Suyash Institute of Pharmacy, Gorakhpur, Uttar Pradesh, INDIA
Vishal Rai Department of Pharmacy, Suyash Institute of Pharmacy, Gorakhpur, Uttar Pradesh, INDIA
Shekhar Singh Department of Pharmacy, Suyash Institute of Pharmacy, Gorakhpur, Uttar Pradesh, INDIA
Akanksha Kanojia Department of Pharmacy, Suyash Institute of Pharmacy, Gorakhpur, Uttar Pradesh, INDIA

DOI:

https://doi.org/10.55544/jrasb.3.4.5

Keywords:

Wound Healing, Soft Robotics., Implantable Devices, Drug Delivery Systems, Tissue Monitoring, Biomedical Engineering

Abstract

Soft robotic implants are a major upgrade in medical devices providing novel means for long-term drug administration and tissue tracking. The eco-friendly biodegradable body-prosthetic will not only be compatible with the human body, but can also mingle completely without inducing foreign-body responses and discomfort. Since these implants provide programmed and localized drug delivery; hence the significance of these sutures could be found in administering the drugs at a specific site and specific interval so as to diminish the side effects and improved therapeutic outcomes. Modern developments of soft robotics implants have improved their design, performance, interaction with biological and other natural materials. Material developments are becoming smarter, where responsive materials in the form of: smart materials, which can react to environmental stimuli and adjust drug delivery rates immediately (and); etc. Moreover, the evolution of microfabrication and nanotechnology also created high precision and less invasive devices, rendering more efficient and well-accepted to patients. These implants are especially valuable for long-term afflictions like diabetes and cancer as they streamline the ongoing, precise delivery of medications. They also have a crucial role in pain management and postoperative care, effectively providing prolonged release of analgesics, and ultimately enhance patient comfort thus contributing to smoother recovery. For tissue monitoring, implantable flexible soft robotic devices with integrated sensors and actuators are able to provide real-time data collection and analysis for the continuous monitoring of vital physiological information, such as cardiovascular health, neural activity, skin conditions (wound healing) etc. This is important, particularly for early detection of complications and receiving timely interventions to optimize patient outcomes. In the future there are a number of intriguing applications that could be developed with these soft robotic implants like personalized medicine and integration with other state-of-the-art medical technologies. Further research and development should/hopefully will address outstanding challenges e.g. technical, regulatory etc to allow more wide-ranging clinical application with consequent transformative impacts on healthcare. Finally, soft robotic implants show great potential to improve drug delivery and tissue monitoring, with continuous development bringing the field closer to better performing medical solutions.

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References

Whitesides, G. M. (2018). Soft Robotics: An Emerging Paradigm. Annual Review of Biomedical Engineering, 20, 85-102.

Rus, D., & Tolley, M. T. (2015). Design, fabrication and control of soft robots. Nature, 521(7553), 467-475.

Trimmer, B. (2013). A journal of soft robotics: Why now? Soft Robotics, 1(1), 1-4.

Kim, S., Laschi, C., & Trimmer, B. (2013). Soft robotics: A bioinspired evolution in robotics. Trends in Biotechnology, 31(5), 287-294.

Guo, B., & Ma, P. X. (2014). Synthetic biodegradable functional polymers for tissue engineering: A brief review. Science and Technology of Advanced Materials, 15(1), 014101.

Mirvakili, S. M., & Hunter, I. W. (2018). Artificial muscles: Mechanisms, applications, and challenges. Advanced Materials, 30(6), 1704407.

Dargahi, J., Najarian, S., & Jalili, N. (2010). Introduction to tactile sensing and display technologies and applications. In Tactile Sensing and Display Technology for Minimally Invasive Surgery (pp. 1-36). Springer, Boston, MA.

Siepmann, J., & Siepmann, F. (2008). Mathematical modeling of drug delivery. International Journal of Pharmaceutics, 364(2), 328-343.

Allen, T. M., & Cullis, P. R. (2004). Drug delivery systems: Entering the mainstream. Science, 303(5665), 1818-1822.

Jeong, J. W., Yeo, W. H., Akhtar, A., Norton, J. J. S., Kwack, Y. J., Li, S., ... & Rogers, J. A. (2013). Materials and optimized designs for human-machine interfaces via epidermal electronics. Advanced Materials, 25(47), 6839-6846.

Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., ... & Javey, A. (2016). Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis. Nature, 529(7587), 509-514.

Ratner, B. D. (2001). Biomaterials science: An introduction to materials in medicine. Academic Press.

Engler, A. J., Sen, S., Sweeney, H. L., & Discher, D. E. (2006). Matrix elasticity directs stem cell lineage specification. Cell, 126(4), 677-689.

Anderson, J. M., Rodriguez, A., & Chang, D. T. (2008). Foreign body reaction to biomaterials. Seminars in Immunology, 20(2), 86-100.

Censi, R., & Esposito, S. (2014). Drug delivery for diabetes management: From traditional therapies to advanced technologies. Medical Devices: Evidence and Research, 7, 361-372.

. Blanco, E., Shen, H., & Ferrari, M. (2015). Principles of nanoparticle design for overcoming biological barriers to drug delivery. Nature Biotechnology, 33(9), 941-951.

Li, J., Mooney, D. J., & Designing hydrogels for controlled drug delivery. Nature Reviews Materials, 16(6), 579-592.

Choi, J., Cho, H. R., Kim, J., Lee, J. Y., Choi, H., Hong, N., ... & Kim, D. H. (2020). Mechano-acoustic sensing of physiological processes and body motions via a soft wireless device placed at the suprasternal notch. Nature Biomedical Engineering, 4(2), 148-158.

Kim, T. I., McCall, J. G., Jung, Y. H., Huang, X., Siuda, E. R., Li, Y., ... & Bruchas, M. R. (2013). Injectable, cellular-scale optoelectronics with applications for wireless optogenetics. Science, 340(6129), 211-216.

Khan, F., Tanaka, M., Ahmad, S. R., & Morimoto, Y. (2017). Design strategies for tissue regeneration and repair using implantable devices. Advanced Healthcare Materials, 6(5), 1601089.

Jain, R. K., & Stylianopoulos, T. (2010). Delivering nanomedicine to solid tumors. Nature Reviews Clinical Oncology, 7(11), 653-664.

Dagdeviren, C., Yang, B. D., Su, Y., Tran, P. L., Joe, P., Anderson, E., ... & Rogers, J. A. (2014). Conformal piezoelectric energy harvesting and storage from motions of the heart, lung, and diaphragm. Proceedings of the National Academy of Sciences, 111(5), 1927-1932.

Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the future - Big data, machine learning, and clinical medicine. New England Journal of Medicine, 375(13), 1216-1219.

Laschi, C., & Cianchetti, M. (2014). Soft robotics: New perspectives for robot bodyware and control. Frontiers in Bioengineering and Biotechnology, 2, 3

Gogia, S., & Ramesh, S. V. (2019). Regulatory requirements for medical devices: A review. Medical Devices: Evidence and Research, 12, 87-98.

Mendoza, M., Gonçalves, F. C., & Stroeken, J. (2021). Patient compliance in the use of medical devices for chronic diseases: A review. Journal of Clinical Engineering, 46(1), 1-11.

Shademan, A., Decker, R. S., & Opfermann, J. D. (2016). Current and emerging trends in the application of soft robotics in medicine. Current Opinion in Biomedical Engineering, 1, 15-22.