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Advanced Techniques in Bioengineering for Improved Diagnostics
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.
How to cite this paper
@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},
}