i-manager Publications

Biosensors for Early Diagnosis and Automated Drug Delivery in Pancreatic Cancer

Anand S.*

Department of Computer Science and Engineering, Infant Jesus College of Engineering, Tamil Nadu, India.

Periodicity:January - June'2024
DOI : https://doi.org/10.26634/jes.12.2.20958

Abstract

Pancreatic cancer remains one of the most challenging malignancies to diagnose and treat effectively, resulting in poor patient outcomes due to late-stage detection and limited therapeutic options. The emergence of biosensors has revolutionized cancer diagnosis and therapy, providing new avenues for early detection and personalized treatment. This paper explores the development and integration of biosensors within a unique expert system for pancreatic cancer diagnosis and drug delivery automation. It discusses the principles, types, and applications of biosensors in pancreatic cancer diagnosis, their role in automating drug delivery, and the design of an expert system that leverages these technologies to enhance patient outcomes.

Keywords

Pancreatic Cancer, Biosensors, Early Detection, Personalized Treatment, Cancer Diagnosis, Drug Delivery, Automation, Expert System, Biomarkers, Nanotechnology, Machine Learning, Real-Time Monitoring, Patient Outcomes, Therapeutic Options, Diagnostic Technology.

How to Cite this Article?

Anand, S. (2024). Biosensors for Early Diagnosis and Automated Drug Delivery in Pancreatic Cancer. i-manager’s Journal on Embedded Systems, 12(2), 32-45. https://doi.org/10.26634/jes.12.2.20958

References

[1]. Bhatia, D., Paul, S., Acharjee, T., & Ramachairy, S. S. (2024). Biosensors and their widespread impact on human health. Sensors International, 5, 100257.

[2]. Borisov, S. M., & Wolfbeis, O. S. (2008). Optical biosensors. Chemical Reviews, 108(2), 423-461.

[3]. Dallavalle, S., Campagnoli, G., Pastena, P., Martinino, A., Schiliró, D., & Giovinazzo, F. (2024). New frontiers in pancreatic cancer management: Current treatment options and the emerging role of Neoadjuvant therapy. Medicina, 60(7), 1070.

[4]. Eswaran, U. (2024a). Converging pharmacy science and engineering in computational drug discovery: Interdisciplinary drug discovery. In Converging Pharmacy Science and Engineering in Computational Drug Discovery (pp. 1-27). IGI Global.

[5]. Eswaran, U. (2024b). Revolutionizing medical imaging: Exploring cutting-edge technologies. In Enhancing Medical Imaging with Emerging Technologies (pp. 210-220). IGI Global.

[6]. Eswaran, U. (2024c). Fortifying cybersecurity in an interconnected telemedicine ecosystem. In Improving Security, Privacy, and Connectivity Among Telemedicine Platforms (pp. 30-60). IGI Global.

[7]. Eswaran, U., Eswaran, V., & Eswaran, V. (2023a). Recent advancements in biosensor technology for biomedical and environmental applications: A review. i- manager's Journal on Embedded Systems, 11(2), 28-36.

[8]. Eswaran, U., Eswaran, V., Murali, K., & Eswaran, V. (2024a). Application of sensors for smart farming. In Agriculture and Aquaculture Applications of Biosensors and Bioelectronics (pp. 18-44). IGI Global.

[9]. Eswaran, U., Khang, A., & Eswaran, V. (2023b). Applying Machine Learning for Medical Image Processing. In AI and IoT-Based Technologies for Precision Medicine (pp. 137-154). IGI Global.

[10]. Eswaran, V., Eswaran, U., Eswaran, V., & Murali, K. (2024b). Revolutionizing healthcare: The application of image processing techniques. In Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry (pp. 309-324). IGI Global.

[11]. Flynn, C. D., & Chang, D. (2024). Artificial intelligence in point-of-care biosensing: Challenges and opportunities. Diagnostics, 14(11), 1100.

[12]. Jayanthi, V. S. A., Das, A. B., & Saxena, U. (2017). Recent advances in biosensor development for the detection of cancer biomarkers. Biosensors and Bioelectronics, 91, 15-23.

[13]. Scognamiglio, V. (2013). Nanotechnology in glucose monitoring: Advances and challenges in the last 10 years. Biosensors and Bioelectronics, 47, 12-25.

[14]. Sharma, A., Badea, M., Tiwari, S., & Marty, J. L. (2021). Wearable biosensors: An alternative and practical approach in healthcare and disease monitoring. Molecules, 26(3), 748.

[15]. Vashist, S. K., Schneider, E. M., & Luong, J. H. (2014). Commercial smartphone-based devices and smart applications for personalized healthcare monitoring and management. Diagnostics, 4(3), 104-128.

[16]. Yoo, E. H., & Lee, S. Y. (2010). Glucose biosensors: An overview of use in clinical practice. Sensors, 10(5), 4558- 4576.

[17]. Zheng, L., Cao, M., Du, Y., Liu, Q., Emran, M. Y., Kotb, A., & Zhou, M. (2024). Artificial enzyme innovations in electrochemical devices: Advancing wearable and portable sensing technologies. Nanoscale, 16(1), 44-60.

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.