Machine Learning-Assisted 3D Flexible Organic Transistor for High-Accuracy Metabolites Analysis and Other Clinical Applications
The integration of advanced diagnostic technologies in healthcare is crucial for enhancing the accuracy and efficiency of disease detection and management. This paper presents an innovative approach combining machine learning-assisted 3D flexible fiber-based organic transistor (FOT) sensors for high...
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| Format: | Article |
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MDPI AG
2024-09-01
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| Series: | Chemosensors |
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| Online Access: | https://www.mdpi.com/2227-9040/12/9/174 |
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| author | Caizhi Liao Huaxing Wu Luigi G. Occhipinti |
| author_facet | Caizhi Liao Huaxing Wu Luigi G. Occhipinti |
| author_sort | Caizhi Liao |
| collection | DOAJ |
| description | The integration of advanced diagnostic technologies in healthcare is crucial for enhancing the accuracy and efficiency of disease detection and management. This paper presents an innovative approach combining machine learning-assisted 3D flexible fiber-based organic transistor (FOT) sensors for high-accuracy metabolite analysis and potential diagnostic applications. Machine learning algorithms further enhance the analytical capabilities of FOT sensors by effectively processing complex data, identifying patterns, and predicting diagnostic outcomes with 100% high accuracy. We explore the fabrication and operational mechanisms of these transistors, the role of machine learning in metabolite analysis, and their potential clinical applications by analyzing practical human blood samples for hypernatremia syndrome. This synergy not only improves diagnostic precision but also holds potential for the development of personalized diagnostics, tailoring treatments for individual metabolic profiles. |
| format | Article |
| id | doaj-art-a72eb35efa774a7aa409bca36e34b4fb |
| institution | OA Journals |
| issn | 2227-9040 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Chemosensors |
| spelling | doaj-art-a72eb35efa774a7aa409bca36e34b4fb2025-08-20T01:55:28ZengMDPI AGChemosensors2227-90402024-09-0112917410.3390/chemosensors12090174Machine Learning-Assisted 3D Flexible Organic Transistor for High-Accuracy Metabolites Analysis and Other Clinical ApplicationsCaizhi Liao0Huaxing Wu1Luigi G. Occhipinti2Department of Engineering, The University of Cambridge, Cambridge CB2 1TN, UKDepartment of Bioengineering, Sun Yat-Sen University, Guangzhou 510275, ChinaDepartment of Engineering, The University of Cambridge, Cambridge CB2 1TN, UKThe integration of advanced diagnostic technologies in healthcare is crucial for enhancing the accuracy and efficiency of disease detection and management. This paper presents an innovative approach combining machine learning-assisted 3D flexible fiber-based organic transistor (FOT) sensors for high-accuracy metabolite analysis and potential diagnostic applications. Machine learning algorithms further enhance the analytical capabilities of FOT sensors by effectively processing complex data, identifying patterns, and predicting diagnostic outcomes with 100% high accuracy. We explore the fabrication and operational mechanisms of these transistors, the role of machine learning in metabolite analysis, and their potential clinical applications by analyzing practical human blood samples for hypernatremia syndrome. This synergy not only improves diagnostic precision but also holds potential for the development of personalized diagnostics, tailoring treatments for individual metabolic profiles.https://www.mdpi.com/2227-9040/12/9/174machine learning (ML)fiber-based organic transistors (FOTs)metabolic analysiselectrolyte ionsclinical diagnostics |
| spellingShingle | Caizhi Liao Huaxing Wu Luigi G. Occhipinti Machine Learning-Assisted 3D Flexible Organic Transistor for High-Accuracy Metabolites Analysis and Other Clinical Applications Chemosensors machine learning (ML) fiber-based organic transistors (FOTs) metabolic analysis electrolyte ions clinical diagnostics |
| title | Machine Learning-Assisted 3D Flexible Organic Transistor for High-Accuracy Metabolites Analysis and Other Clinical Applications |
| title_full | Machine Learning-Assisted 3D Flexible Organic Transistor for High-Accuracy Metabolites Analysis and Other Clinical Applications |
| title_fullStr | Machine Learning-Assisted 3D Flexible Organic Transistor for High-Accuracy Metabolites Analysis and Other Clinical Applications |
| title_full_unstemmed | Machine Learning-Assisted 3D Flexible Organic Transistor for High-Accuracy Metabolites Analysis and Other Clinical Applications |
| title_short | Machine Learning-Assisted 3D Flexible Organic Transistor for High-Accuracy Metabolites Analysis and Other Clinical Applications |
| title_sort | machine learning assisted 3d flexible organic transistor for high accuracy metabolites analysis and other clinical applications |
| topic | machine learning (ML) fiber-based organic transistors (FOTs) metabolic analysis electrolyte ions clinical diagnostics |
| url | https://www.mdpi.com/2227-9040/12/9/174 |
| work_keys_str_mv | AT caizhiliao machinelearningassisted3dflexibleorganictransistorforhighaccuracymetabolitesanalysisandotherclinicalapplications AT huaxingwu machinelearningassisted3dflexibleorganictransistorforhighaccuracymetabolitesanalysisandotherclinicalapplications AT luigigocchipinti machinelearningassisted3dflexibleorganictransistorforhighaccuracymetabolitesanalysisandotherclinicalapplications |