Publications by authors named "Daniel C Braz"
The diagnosis of cancer and other diseases using data from non-specific sensors - such as the electronic tongues (e-tongues) - is challenging owing to the lack of selectivity, in addition to the variability of biological samples. In this study, we demonstrate that impedance data obtained with an e-tongue in saliva samples can be used to diagnose cancer in the mouth. Data taken with a single-response microfluidic e-tongue applied to the saliva of 27 individuals were treated with multidimensional projection techniques and non-supervised and supervised machine learning algorithms.
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- The paper discusses the creation of genosensors designed to detect a specific DNA sequence related to prostate cancer (PCA3), which could improve early diagnosis and treatment.
- Various detection methods were used, with electrochemical impedance spectroscopy showing the highest sensitivity at a detection limit of 83 pM, surpassing other methods like cyclic voltammetry and UV-vis spectroscopy.
- Machine learning was applied to analyze scanning electron microscopy images of the genosensors, achieving a remarkable classification accuracy of 99.9% for PCA3 detection, though identifying specific PCA3 concentrations showed lower accuracy, indicating a need for improved image analysis techniques.