Bodke, Pratiksha Rajeshwar and Renge, Shivam Pravin and Patole, Apeksha and Jadhav, R. S. (2025) Digital drug intelligence based on AI. World Journal of Biology Pharmacy and Health Sciences, 21 (3). pp. 652-656. ISSN 2582-5542
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Abstract
Artificial Intelligence is the branch of computer science which elaborates all the sectors in science and technology from Fundamental engineering to medicinal science. This review focused on different techniques and different types of technologies such as Activity relationship technologies, virtual screening, support vector machines, Recurrent Neural network including various different parameters. Pharmaceutical industry used AI for designing plan of treatment and helps in people health care. They reduce human work by using different tools while there are various challenges faces to work on AI.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjbphs.2025.21.3.0317 |
Uncontrolled Keywords: | Activity relationship technology; Drug designing; Development process; Production of medications; Neural Networks |
Depositing User: | Editor WJBPHS |
Date Deposited: | 20 Aug 2025 11:34 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/3414 |