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Develop an APP for quantitative detection of alpha fetoprotein

Published:03 May 2024Publication History

ABSTRACT

Alpha fetoprotein (AFP) is an important biomarker for the early detection and effective therapy of cancer. Existing technologies for AFP detection, however, have significant limitations, such as complex processes, lengthy detection cycles, and high costs, which limit their practical usage in clinical settings. To address these issues, this project intends to provide an innovative and disruptive solution in the form of a dedicated mobile application (APP).This APP promises to change AFP detection paradigms by leveraging unique intellectual property containing AFP specific binding affinity peptides. By using these peptides, the proposed mobile application aims to overcome the limitations of previous approaches. This APP aims to ease the process of quantifying AFP levels using a user-friendly interface. The program aims to streamline detection methods by strategically combining cutting-edge technology with proprietary peptides, lowering complications and detection time.Furthermore, the use of privately held intellectual property might result in cost reductions during the APP's development and deployment phases. This strategic approach lays the groundwork for a more cost-effective and financially feasible solution. In essence, the suggested mobile application not only promises to improve AFP detection precision and efficiency, but it also has the ability to transform the landscape of cancer diagnostics in a more accessible and impactful way.

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      IoTAAI '23: Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence
      November 2023
      902 pages
      ISBN:9798400716485
      DOI:10.1145/3653081

      Copyright © 2023 ACM

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      Publication History

      • Published: 3 May 2024

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