Published Paper Details:

Artificial intelligence (AI) has become more prevalent in a number of societal fields, most notably the pharmaceutical industry. In this review, we focus on how AI is being used in a variety of pharmaceutical industry fields, such as drug discovery and development, drug repurposing, increasing pharmaceutical productivity, and clinical trials, among others. This use of AI lessens the workload of human workers while also achieving goals quickly. A interesting and expanding field is artificial intelligence (AI). Because of the large and growing volume of data, AI techniques are becoming indispensable for the full evaluation of information underlying data. AI is being used to accelerate progress and improve decision making in various sectors and disciplines of drug discovery and development, including medicinal chemistry, upscaling, molecular and cell biology, pharmacology, pharmacokinetics, formulation development, and toxicity. In clinical testing, AI plays a critical role in raising success rates by improving trial design (biomarkers, efficacy parameters, dose selection, trial duration), target patient population selection, patient stratification, and patient sample evaluation. We also explore crosstalk between AI tools and methodologies, current issues and solutions, and the future of AI in the pharma industry.