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Stream/Area:
-
Subject:
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Paper ID:
IJSREM63170
Volume:
10 |
5 |
May 2026
Pages:
1-17
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Pharmaceuitcal Sciences
Minerva College of Pharmacy
Pharmaceuitcal Sciences
Minerva College of Pharmacy
Pharmaceuitcal Sciences
Minerva College of Pharmacy
Pharmaceuitcal Sciences
Minerva College of Pharmacy
Pharmaceuitcal Sciences
Minerva College of Pharmacy
Pharmaceuitcal Sciences
Minerva College of Pharmacy
Abstract Artificial Intelligence (AI) has been recognized as an important technology in the development of the drug industry. One of the important stages in the development of the drug industry involves the selection and optimization of the appropriate drug dose to ensure the maximum efficacy and the least side effects. The AI system can process vast amounts of biological, pharmacological, and clinical data to determine the best drug dose. AI technology, with the use of pharmacokinetic and pharmacodynamic data, helps in understanding the absorption, distribution, metabolism, and excretion of the drug, which are important factors in the determination of the appropriate drug dose. In addition, AI helps in the development of personalized medicine, where individualized dose prediction can be made based on characteristics such as age, genetics, body weight, and disease conditions. This helps in improving treatment outcomes and minimizing the risk of adverse drug reactions. AI-based systems can help researchers in designing efficient clinical trials, predicting toxicity, and reducing the time and costs of developing drugs.
KEYWORDS
Artificial Intelligence (AI) is bringing a major change in how drug doses are selected and optimized. It helps researchers and doctors understand complex data better and choose the most effective and safe dose for patients. Compared to traditional methods, AI makes the process faster, more accurate, and more reliable. AI also supports personalized medicine by considering individual patient differences such as age, genetics, and health condition. This leads to better treatment outcomes and fewer side effects. In addition, AI improves clinical trials, reduces costs, and increases the chances of successful drug development. Although there are some challenges like data quality, model transparency, and regulatory issues, continuous improvements in technology and proper guidelines can overcome these problems. In the future, AI will play an even bigger role in healthcare by making treatments more precise, adaptive, and patient-focused. Overall, AI has the potential to make drug development safer, smarter, and more effective for everyone.
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Publication Date
5/21/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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