Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Your comprehensive description highlights the multifaceted applications of Artificial Intelligence (AI) across various fields, particularly in the pharmaceutical sector. The role of AI in medication discovery, development for complex diseases, drug adherence, dose optimization, and drug production underscore its versatility and impact on healthcare. The mention of the challenges in the clinical trial process and the potential of AI to streamline tasks like patient selection and enrolment is crucial for improving efficiency and addressing issues like the low completion rate of clinical trials. However, your observation about the limited evidence of AI use in clinical trials aligns with the ongoing exploration and adoption of these technologies in the pharmaceutical industry. The integration of AI in clinical trials holds promise for advancing research and improving patient outcomes.
Keywords:
artificial intelligence, r & d, drug discovery, machine learning.
Cite Article:
"A Review Article on Artificial Intelligence in Pharmaceutical Industry & Healthcare", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 12, page no.89 - 99, December-2023, Available :http://www.ijrti.org/papers/IJRTI2312014.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator