Authors: Dr. Zirika Temba
Abstract: Early detection of diseases significantly improves patient outcomes by enabling timely intervention and effective treatment. Smart nanosensors, leveraging advances in nanotechnology, offer remarkable sensitivity and specificity in detecting biomarkers associated with various diseases at their earliest stages. However, the complexity of the signals generated by these sensors and the vast amount of data involved require advanced computational techniques for accurate interpretation. Artificial intelligence (AI), particularly machine learning and deep learning, plays an increasingly vital role in processing nanosensor data, identifying patterns, and enhancing diagnostic accuracy. This paper reviews the integration of AI with nanosensor technology for early disease detection, discusses key design considerations, presents notable applications, and explores the challenges and future opportunities in this interdisciplinary field.
DOI: http://doi.org/10.61137/ijsret.vol.8.issue6.546
