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Home / Archives / Volume-4 / Issue-4 / Article-3

Volume - 4 | Issue - 4 | december 2022

AI-Powered Drug Detection System Utilizing Bioactivity Prediction and Drug Release Tracking
Hari Krishnan Andi 
Pages: 263-273
Cite this article
Andi, Hari Krishnan. "AI-Powered Drug Detection System Utilizing Bioactivity Prediction and Drug Release Tracking." Journal of Artificial Intelligence and Capsule Networks 4, no. 4 (2022): 263-273
DOI
10.36548/jaicn.2022.4.003
Published
09 November, 2022
Abstract

In recent years, Artificial Intelligence (AI) and Machine Learning technologies have played an emerging trend aiding in the creation of new medicines. Simply said, deep learning algorithms and artificial neural networks have brought a new level of sophistication to this field. In recent years, Artificial Intelligence through Machine Learning have been used in this area, and its use is supported by historical data. Additionally, freshly created modelling algorithms relied heavily on unique data mining, duration, and management strategies, which were compared to gauge overall efficiency. This paper suggests the AI powered Drug Detection System using Bioactivity Prediction and Drug Release Tracking. The experimental findings show that the suggested systems effectively recognize the illegal drug advertisements. Datasets with millions of posts gathered using the Google+ API have been used to meticulously verify both the methods. The experimental evidence shows that both approaches can be used to accurately identify medicines.

Keywords

Machine learning drug discovery biomolecular bioactivity pharmaceutical industry

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