Aashveen Chhina, Karan Trehan, Muskaan Saini, Shubham Thakur, Manjot Kaur, Navid Reza Shahtaghi, Riya Shivgotra, Bindu Soni, Anuj Modi, Hossamaldeen Bakrey and Subheet Kumar Jain* Pages 1645 - 1658 ( 14 )
This article explores the significant impact of artificial intelligence (AI) and machine learning (ML) on the pharmaceutical industry, which has transformed the drug development process. AI and ML technologies provide powerful tools for analysis, decision-making, and prediction by simplifying complex procedures from drug design to formulation design. These techniques could potentially speed up the development of better medications and drug development processes, improving the lives of millions of people. However, the use of these techniques requires trained personnel and human surveillance for AI to function effectively, if not there is a possibility of errors like security breaches of personal data and bias can also occur. Thus, the present review article discusses the transformative power of AI and ML in the pharmaceutical industry and provides insights into the future of drug development and patient care.
Artificial intelligence, machine learning, drug discovery, post-marketing surveillance, target identification, QSAR modeling, polypharmacology.