Paper Title
Exploring the Latest Biosensing Trends with Artificial Intelligence (AI) and Machine Learning (ML)
Article Identifiers
Authors
Kirti Akshaya
Keywords
Artificial intelligence, Artificial intelligence of things, Machine learning, Biosensing.
Abstract
Machine learning algorithms can uncover relationships in data that cannot be detected by traditional analysis methods. Biosensors are known to provide greater accuracy and sensitivity when producing complex data. In this article, the authors explore current issues in the application of artificial intelligence and machine learning for biosensing applications. The authors will discuss how these techniques can be used to increase the accuracy and efficiency of information. The potential impact of these advances on healthcare and other sectors will also be examined. Surprisingly, machine learning algorithms learn from large amounts of data, allowing them to find hidden relationships.
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How To Cite (APA)
Kirti Akshaya (October-2023). Exploring the Latest Biosensing Trends with Artificial Intelligence (AI) and Machine Learning (ML). INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(10), b230-b233. https://ijnrd.org/papers/IJNRD2310126.pdf
Issue
Volume 8 Issue 10, October-2023
Pages : b230-b233
Other Publication Details
Paper Reg. ID: IJNRD_206780
Published Paper Id: IJNRD2310126
Downloads: 000121998
Research Area: Science & Technology
Country: Bangalore, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2310126.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310126
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
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Important Dates for Current issue
Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Oct-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
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