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AI in Clinical Trials and Drug Development: Challenges and Potential Advancements
Divyanshi Gupta1, Pranay Wal1, Ankita Wal1
1Department of Pharmacy, PSIT-Pranveer Singh Institute of Technology, Kanpur Agra Highway, NH19 Bhauti Kanpur, UP, India.
Current Drug Discovery Technologies
|October 30, 2024
Summary
Artificial intelligence (AI) enhances drug discovery and clinical trials, improving efficiency and cost-effectiveness. This study reviews AI
Area of Science:
- * Artificial Intelligence (AI) applications in scientific research and development.
- * Integration of machine learning (ML), deep learning (DL), and human intelligence (HI).
Background:
- * AI is rapidly transforming diverse industries, including engineering, medicine, and aerospace.
- * AI revolutionizes drug discovery and development, increasing efficiency and reducing costs.
- * AI is utilized across various scientific domains like medicinal chemistry, pharmacology, and toxicology.
Purpose of the Study:
- * To highlight the significance of AI in clinical trials and drug development.
- * To explore current challenges and future advancements of AI in healthcare.
- * To provide recommendations for navigating AI implementation in clinical research.
Main Methods:
- * Comprehensive literature review from 1998 to 2023.
- * Searches conducted on Science Direct, PubMed, and Google Scholar.
- * Data sourced from publications in Nature, MDPI, Springer Link, and Research Gate.
Main Results:
- * AI improves patient stratification, sample evaluation, and trial design in clinical testing.
- * AI aids in biomarker identification, efficacy criteria determination, and dose selection.
- * AI addresses research obstacles and methodological limitations in drug development.
Conclusions:
- * AI is crucial for efficient and cost-effective drug discovery and clinical trials.
- * A robust AI strategy is essential for pharmaceutical companies to adopt AI routinely.
- * Understanding AI's potential and limitations is key for its successful integration into healthcare.
Keywords:
Artificial intelligenceclinical trialdeep learningdigital healthdrug-developmenthuman intelligence.machine learningMore Related Videos
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