Improving biosensor accuracy and speed using dynamic signal change and theory-guided deep learning

False results and time delay are longstanding challenges in biosensing. While classification models and deep learning may provide new opportunities for improving biosensor performance, such as measurement confidence and speed, it remains a challenge to ensure that predictions are explainable and con...

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Veröffentlicht in:	Biosensors & bioelectronics 2024-02, Vol.246, p.115829-115829, Article 115829
Hauptverfasser:	Zhang, Junru, Srivatsa, Purna, Ahmadzai, Fazel Haq, Liu, Yang, Song, Xuerui, Karpatne, Anuj, Kong, Zhenyu James, Johnson, Blake N
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biosensing Techniques - methods Deep Learning MicroRNAs Neural Networks, Computer
Online-Zugang:	Volltext
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