Title:Artificial Intelligence in Pharmaceutical Industry: Revolutionizing Drug
Development and Delivery
Volume: 2
Author(s): Pankaj Bhatt, Suruchi Singh*, Vipin Kumar, Kandasamy Nagarajan, Shardandu Kumar Mishra, Praveen Kumar Dixit, Vinay Kumar and Sanjeev Kumar
Affiliation:
- Accurate College of Pharmacy, 49, Knowledge Park-III, Greater Noida, 201306, (U.P.), India
Keywords:
Machine learning adverse event prediction, molecule design, drug development, personalized medicine, artificial intelligence, cost-effectiveness.
Abstract: Artificial Intelligence (AI) has ushered in a profound revolution within the pharmaceutical
sector, effectively streamlining the processes of drug development and delivery. The application of
AI-driven tools and methodologies, including machine learning and natural language processing, in
the realm of pharmaceutical research and development has yielded recent breakthroughs. This accelerated
the drug discovery process by meticulously scrutinizing copious data and pinpointing potential
drug targets, as expounded upon in this comprehensive review. Furthermore, AI has found utility in
optimizing clinical trials, thereby refining trial designs and cost-effectiveness and bolstering patient
safety. Notably, AI-based strategies are being harnessed to enhance drug delivery, fostering the creation
of intelligent drug delivery systems engineered to target specific cells or organs. This results in
heightened efficacy and a concomitant reduction in undesirable side effects. This review also delves
into the potential biases residing within AI algorithms and the challenges associated with data quality
when integrating AI into the pharmaceutical sphere. The findings of this study underscore the immense
potential of artificial intelligence in reshaping the pharmaceutical industry, thereby enhancing
the quality of life for patients worldwide.