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Transformative laboratory medicine enabled by microfluidic automation and artificial intelligence
Laboratory medicine provides pivotal medical information through analyses of body fluids and tissues, and thus, it is essential for diagnosis of diseases as well as monitoring of disease progression. Despite its universal importance, the field is currently suffering from the limited workforce and an...
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Published in: | Biosensors & bioelectronics 2025-03, Vol.271, p.117046, Article 117046 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Laboratory medicine provides pivotal medical information through analyses of body fluids and tissues, and thus, it is essential for diagnosis of diseases as well as monitoring of disease progression. Despite its universal importance, the field is currently suffering from the limited workforce and analytical capabilities due to the increasing pressure from expanding global population and unexpected rise of noncommunicable diseases.
The emerging technologies of microfluidic automation and artificial intelligence (AI) has led to the development of advanced diagnostic platforms, positioning themselves as adaptable solutions to enable highly efficient and accessible laboratory medicine. In this review, we will provide a comprehensive review of microfluidic automation, focusing on the microstructure design and automation principles, along with its intended functionalities for diagnostic purposes. Subsequently, we exemplify the integration of AI with microfluidics and illustrating how their combination benefits for the applications and what the challenges are in this rapidly evolving field. Finally, the review offers a balanced perspective on the microfluidics and AI, discussing their promising role in advancing laboratory medicine.
•Strategies of microfluidic automation and its implementation for advanced laboratory medicine.•Implementation of AI on the microfluidic platforms with capabilities of fluid management and enhanced data processing.•A balanced analysis of the advantages and disadvantages of microfluidic automation and AI technologies.•Perspectives for the development and integration of microfluidic automation and AI technologies. |
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ISSN: | 0956-5663 1873-4235 1873-4235 |
DOI: | 10.1016/j.bios.2024.117046 |