The Role Of Ai In Personalizing Pharmacotherapy
Year: 2024
Type: article
Abstract: Artificial intelligence in pharmacology revolutionizes customized medicine by improving treatment regimens based on each patient's unique environmental, genetic, and behavioral characteristics. This study examines how artificial intelligence is used in drug discovery, dose optimization, and real-time therapeutic effectiveness and safety monitoring to customize pharmacotherapy. Machine learning, natural language processing, and other artificial intelligence algorithms can search patient records, genetic data, and clinical trial results for patterns that can predict medication responses. AI-driven prediction models may help healthcare professionals make better judgments, reducing medication reactions and improving treatment effectiveness. These models reduce harmful medication effects. This study on artificial intelligence in healthcare has raised ethical questions about data protection and legal frameworks, among others. The results show that artificial intelligence might revolutionize pharmacology by promoting personalized therapy. This might improve hospital efficiency and patient outcomes.
Author: Moiz Ahamad*, Ashok Kumar
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6893034507
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