The Role Of Ai In Personalizing Pharmacotherapy

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-03
DOI
https://doi.org/10.5281/zenodo.14030606
Primary Topic
Marine Sponges and Natural Products
Type
article
Field-Weighted Citation Impact
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article

The Role Of Ai In Personalizing Pharmacotherapy

Zenodo (CERN European Organization for Nuclear Research)
Marine Sponges and Natural Products
article

The Role Of Ai In Personalizing Pharmacotherapy

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 50%
Marine Sponges and Natural Products
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The Role Of Ai In Personalizing Pharmacotherapy · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS