A PHP Error was encountered

Severity: Warning

Message: Use of undefined constant REF_SOFFICE_BIN - assumed 'REF_SOFFICE_BIN' (this will throw an Error in a future version of PHP)

Filename: controllers/New_pages.php

Line Number: 938

Backtrace:

File: /home/u640135541/domains/irejournals.com/public_html/application/controllers/New_pages.php
Line: 938
Function: _error_handler

File: /home/u640135541/domains/irejournals.com/public_html/application/controllers/New_pages.php
Line: 892
Function: locate_soffice

File: /home/u640135541/domains/irejournals.com/public_html/application/controllers/New_pages.php
Line: 741
Function: convert_doc_to_docx

File: /home/u640135541/domains/irejournals.com/public_html/application/controllers/New_pages.php
Line: 123
Function: extract_sections_data

File: /home/u640135541/domains/irejournals.com/public_html/index.php
Line: 315
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: Use of undefined constant REF_SOFFICE_BIN - assumed 'REF_SOFFICE_BIN' (this will throw an Error in a future version of PHP)

Filename: controllers/New_pages.php

Line Number: 938

Backtrace:

File: /home/u640135541/domains/irejournals.com/public_html/application/controllers/New_pages.php
Line: 938
Function: _error_handler

File: /home/u640135541/domains/irejournals.com/public_html/application/controllers/New_pages.php
Line: 892
Function: locate_soffice

File: /home/u640135541/domains/irejournals.com/public_html/application/controllers/New_pages.php
Line: 741
Function: convert_doc_to_docx

File: /home/u640135541/domains/irejournals.com/public_html/application/controllers/New_pages.php
Line: 123
Function: extract_sections_data

File: /home/u640135541/domains/irejournals.com/public_html/index.php
Line: 315
Function: require_once

Advanced Techniques in Bioengineering for Improved Diagnostics
International Peer-Reviewed Journal•Open Access•ISSN 2456-8880
irejournals@gmail.com•+91-7433024337

Home / Current Issue / Paper 1709058

1709058 Vol 8 · Issue 12 Download Paper

Advanced Techniques in Bioengineering for Improved Diagnostics

Yvonne Ilozuluike

Subject area: Science,Engineering and Technology  ·  Area of research: Bioengineering

Abstract

Bioengineering has greatly transformed medical diagnosis leading to efficiency in the detection of diseases. This has been made possible by combining the knowledge of biological systems, engineering principles and technological innovation to develop newer diagnostics tools to provide more knowledge to the healthcare system. In this study we analyzed how the application of artificial intelligence and machine learning in bioengineering has led to the development of microfluidics, biosensors and other novel solutions to provide accessibility and accuracy in disease detection and treatment. This study states the advantages of bioengineering and role it plays in tackling challenges in healthcare and its impact in the world of diagnostics. Bioengineering has been greatly transformed through the introduction of machine learning and artificial intelligence which has greatly improved disease detection. Big data Analytics and predictive modelling has enabled Bioengineers to recognize the pattern of diseases, improve diagnostic protocols and boost patient better patient outcomes and these have been made possible using microfluidic devices and biosensors which facilitate rapid point of care testing. This advancement has reduced the need for complex laboratory procedures while still ensuring better efficiency and specificity. They have also lead to a more decentralized healthcare system enabling early detection of disease and rapid intervention even in cases where there is limited resource setting.

References

[1] ABA Banking Journal. (2023). AI and financial inclusion: Exploring opportunities and challenges.

[2] Alfa Chemistry. (n.d.). Advantages and disadvantages of microfluidic technology. Retrieved from https://microfluidics.alfa-chemistry.com/advantages-and-disadvantages-of-microfluidic-technology.html

[3] American Banker. (2024). How AI is reshaping compliance and financial inclusion in banking.

[4] Baldwin, R., Cave, M., & Lodge, M. (2023). Understanding regulation: Theory, strategy, and practice. Oxford University Press.

[5] Demirgüç-Kunt, A., Klapper, L., Singer, D., Ansar, S., & Hess, J. (2022). The Global Findex Database 2021: Financial inclusion, digital payments, and resilience in the age of COVID-19. The World Bank.

[6] Ekom Medical. (2024). The importance of diagnostic testing: Uncovering hidden health issues. Retrieved from https://ekommed.com/blog/the-importance-of-diagnostic-testing-uncovering-hidden-health-issues/

[7] Gupta, V., & Vohra, R. (2022). Cybersecurity risks and data privacy in AI-driven regulatory compliance. Journal of Financial Regulation.

[8] Journal of Global Research in Computer Sciences. (2024). AI's impact on banking operations and compliance. Journal of Global Research in Computer Sciences, 15(1).

[9] Lee, C.-S. (2020). Grand challenges in microfluidics: A call for biological and engineering action. Frontiers in Sensors, 1, 583035. https://doi.org/10.3389/fsens.2020.583035

[10] Lee, L. (2024). Enhancing financial inclusion and regulatory challenges: A critical analysis of digital banks and alternative lenders through digital platforms, machine learning, and large language models integration.

[11] Mata Bioengineering. (n.d.). Bioengineering for advanced diagnostic tools. Retrieved from https://www.matabioengineering.com/bioengineering-for-advanced-diagnostic-tools/

[12] Myatt, C. (2018). The opportunities and challenges of microfluidics. Diagnostics World News. Retrieved from https://www.diagnosticsworldnews.com/news/2018/07/26/the-opportunities-and-challenges-of-microfluidics

[13] Nature. (2021). An awakening in next-generation molecular diagnostics. Nature. Retrieved from https://www.nature.com/articles/d42473-021-00173-9

[14] Nicholas, M. (2024). Synthetic biology: Transforming therapeutics and diagnostics through engineered biological systems. Journal of Biomedical Systems & Emerging Technologies, 11(3). Retrieved from https://www.hilarispublisher.com/open-access/synthetic-biology-transforming-therapeutics-and-diagnostics-through-engineered-biological-systems.pdf

[15] Omnia Health Insights. (2023). Convergence of point-of-care testing and digital health transform healthcare delivery. Retrieved from https://insights.omnia-health.com/technology/convergence-point-care-testing-and-digital-health-transform-healthcare-delivery

[16] O'Neil, C. (2022). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing Group.

[17] Parate, S. (2023). Optimizing financial regulatory compliance through AI: A business case study. International Journal of Computer Trends and Technology.

[18] Poplin, R., Chang, P.-C., Alexander, D., Schwartz, S., Colthurst, T., Ku, A., Newburger, D., Dijamco, J., Nguyen, N., Afshar, P. T., Gross, S. S., Dorfman, L., McLean, C. Y., & DePristo, M. A. (2018). Creating a universal SNP and small indel variant caller with deep neural networks. Nature Biotechnology, 36(10), 983-987. doi:10.1038/nbt.4235

[19] Pattanayak, P., Singh, S. K., Gulati, M., Vishwas, S., Kapoor, B., Chellappan, D. K., Anand, K., Gupta, G., Jha, N. K., Gupta, P. K., Prasher, P., Dua, K., Dureja, H., Kumar, D., & Kumar, V. (2021). Microfluidic chips: Recent advances, critical strategies in design, applications, and future perspectives. Microfluidics and Nanofluidics, 25, 99. https://doi.org/10.1007/s10404-021-02502-2

[20] Ridzuan, N. N., Masri, M., & Anshari, M. (2024). AI in the financial sector: The line between innovation, regulation, and ethical responsibility. MDPI Information Journal.

[21] RROIJ Journal. (2024). Leveraging AI for ethical and compliant financial services. Journal of Global Research in Computer Sciences, 15(1).

[22] Sahay, R., ihák, M., N'Diaye, P., & Barajas, A. (2021). Financial inclusion and development: Revisiting policy principles. International Monetary Fund.

[23] World Economic Forum. (2023). The role of AI in driving financial inclusion.IEEE Trans. Antennas Propag?@PQ|}~‡‰ pqrv‚ñæÕǹխžŒzfffUUI::h˜gh^~ CJOJQJaJhn=CJOJQJaJ hn=5�6�CJOJPJQJaJ&hn=hn=5�6�CJOJPJQJaJ#h˜gh^~ 5�CJOJPJQJaJ"h˜gh^~ 5�6�CJOJQJaJh^~ h˜gCJOJQJaJh^~ CJOJQJaJhn=hn=6�OJQJ]�hn=B*OJPJQJph!hn=hn=B*OJPJQJphh^~ h^~ OJQJhn=hn=CJ(OJQJaJ(?@Q}~qrƒ„�‚õõõõàÒÈ·ŸŠÈÈÈÈ$„ñÿ„Ždì¤:]„ñÿ^„Ža$gdn=$ &F„ñÿ„Sýdì¤:]„ñÿ`„Sýa$gdn=$„ñÿdì¤:]„ñÿa$gdn= $¤a$gdn= [Some characters in this reference could not be displayed correctly — please refer to the published PDF for the full reference.]

[24] „ñÿdð¤]„ñÿgdn=$„ñÿ„ dð¤]„ñÿ^„ a$gd^~ $¤a$gdn=‚ƒ„�‚>?@ "]$^$$&(ª)«)¬)É)Ê)Ë)Ê+Ê-Ê/Ê122j2k2l2k4k698:8;8E8F8k8k:k<k>¼>½>¾>Î>ÿ>?2?3?=?ôèÙÙÙÙÙÙÙÙÙÙÙÙèÙÙÙÙÙÙÙÙÙÙèÊÊè¾ÙÙÙÙÙ¾ÊèÊÙÙÙ辯¾¯¯¯¯¯¾¾¯¯¯¯¾ hÙ ©hôtCJOJQJaJhÙ ©hÙ ©CJOJQJaJhÙ ©CJOJQJaJhn=hÙ ©CJOJQJaJhn=hn=CJOJQJaJhn=CJOJQJaJh˜gCJOJQJaJ;?@]$^$«)¬)Ê)Ë)2k2l2:8;8F8½>¾>Î>êßÕÕÕÕÀÕÕÀµÕÕª  ˜$a$gdÙ © $¤a$gdÙ © $dha$gdÙ © „ª¤^„ªgdÙ ©$ &F„7„Éý¤^„7`„Éýa$gddk $¤a$gdn= „S¤^„Sgdn=$ &F„7„Wþ¤^„7`„Wþa$gdÙ ©Î>?3?>?Ÿ?e@Á@?ABÓB\CÿC®DˆE3FG—GðHòIuJKgLìM˜N÷äÜÇÇÇÇÇÇÇÇÇÇÇÇÇÇÇÇÇÇÇÇ$ &F„©„Wþ¤:^„©`„Wþa$gddk$a$gdÙ ©h˜yðh^~ 5�CJOJQJ^JaJh—7Øjh—7ØUh^~ hÒnàCJOJQJaJh^~ hü)CJOJQJaJh^~ h˜gCJOJQJaJUhÙ ©hÙ ©CJOJQJaJhôthôtCJOJQJaJ7˜N#O2Q````````!`"`$`%`'`(`*`+`k`êêêØÊÀÀÀÀÀ¶´¶´¶´¶´¤$„`„öÿ^„``„öÿa$gd^~ dð¤gdëQÉ $¤a$gd^~ [Some characters in this reference could not be displayed correctly — please refer to the published PDF for the full reference.]

How to cite this paper

Yvonne Ilozuluike "Advanced Techniques in Bioengineering for Improved Diagnostics" Iconic Research And Engineering Journals Volume 8 Issue 12 2025 Page 628-632
Yvonne Ilozuluike "Advanced Techniques in Bioengineering for Improved Diagnostics" Iconic Research And Engineering Journals, vol. 8, no. 12, Jun. 2025
Yvonne Ilozuluike (2025). Advanced Techniques in Bioengineering for Improved Diagnostics. Iconic Research And Engineering Journals, 8(12).
Yvonne Ilozuluike "Advanced Techniques in Bioengineering for Improved Diagnostics" Iconic Research And Engineering Journals, vol. 8, no. 12, Jun. 2025.
@article{1709058,
      author = {Yvonne Ilozuluike},
      title = {Advanced Techniques in Bioengineering for Improved Diagnostics},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {12},
      pages = {628-632},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709058.pdf},
      abstract = {Bioengineering has greatly transformed medical diagnosis leading to efficiency in the detection of diseases. This has been made possible by combining the knowledge of biological systems, engineering principles and technological innovation to develop newer diagnostics tools to provide more knowledge to the healthcare system. In this study we analyzed how the application of artificial intelligence and machine learning in bioengineering has led to the development of microfluidics, biosensors and other novel solutions to provide accessibility and accuracy in disease detection and treatment. This study states the advantages of bioengineering and role it plays in tackling challenges in healthcare and its impact in the world of diagnostics. Bioengineering has been greatly transformed through the introduction of machine learning and artificial intelligence which has greatly improved disease detection. Big data Analytics and predictive modelling has enabled Bioengineers to recognize the pattern of diseases, improve diagnostic protocols and boost patient better patient outcomes and these have been made possible using microfluidic devices and biosensors which facilitate rapid point of care testing. This advancement has reduced the need for complex laboratory procedures while still ensuring better efficiency and specificity. They have also lead to a more decentralized healthcare system enabling early detection of disease and rapid intervention even in cases where there is limited resource setting.},
      month = {June},
  }