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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Artificial Intelligence (AI) and Machine Learning (ML) for Latest Trends in Biosensing Applications |
| Authors Name: | SAGNIK JANA |
| Unique Id: | IJSDR2310067 |
| Published In: | Volume 8 Issue 10, October-2023 |
| Abstract: | Biosensors are becoming more popular as analytical tools based to their ability to detect and identify biological substances in a variety of applications. Biosensors have proven useful in many important fields such as medicine, food safety, environmental monitoring, security, medicine and verification. One of the leaders in the biosensor market is diagnostic equipment, as diagnostic equipment supports approximately 70% of medical decisions. This article explains on the use of artificial intelligence (AI) and machine learning (ML) in various types of biosensors. Artificial intelligence increases the capabilities of biosensors and is used in automation, electronics, medical devices, etc. It opens up new opportunities in fields. Wearable biosensors are now entering our daily lives and playing an important role in the advancement of technology. Biosensors with micro-nano structure have advantages such as small size, high sensitivity, production, simple arrangement and integration compared to chemical biosensors, and these advantages make them an improved method for pressure sensors. In this article, we review recent advances in machine learning for biosensor applications. We discuss various machine learning techniques applied to biosensors, including models for data processing, feature extraction, classification, and data analysis. Issues related to machine learning and biosensor integration are also touched upon and future trends in this field are presented. |
| Keywords: | Artificial intelligence, Machine learning, Biosensor network, Wearable biosensors, Deep learning, Support Vector Machine |
| Cite Article: | "Artificial Intelligence (AI) and Machine Learning (ML) for Latest Trends in Biosensing Applications", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 10, page no.388 - 399, October-2023, Available :http://www.ijsdr.org/papers/IJSDR2310067.pdf |
| Downloads: | 000338720 |
| Publication Details: | Published Paper ID: IJSDR2310067 Registration ID:208941 Published In: Volume 8 Issue 10, October-2023 DOI (Digital Object Identifier): Page No: 388 - 399 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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