Life Science Research Communications

Artificial Intelligence (AI) in Pharmacy: An Overview of Innovations: Review Article

Atul Sharma, Sonika Rattan, Nitika Sharma, Sharad

Artificial Intelligence (AI) is a tool for data analysis and data related problems. This advancement has led to several technological achievements in virtually all fields from engineering to architecture, education, accounting, business, health, and many more. Intelligent modeling is the main goal of Artificial Intelligence (AI), which aids with knowledge envisioning, problem solving, and decision making. AI has recently become significant in a number of pharmacy-related domains, including hospital pharmacy, polypharmacology, drug delivery formulation development, and drug discovery. Different Artificial Neural Networks (ANNs), such as Deep Neural Networks (DNNs) or Recurrent Neural Networks (RNNs), are used in drug discovery and drug delivery formulation development. The power of the technology in Quantitative Structure-Activity Relationship (QSAR) or Quantitative Structure-Property Relationship (QSPR) has been examined in a number of drug discovery applications. The applications of AI in pharmacy, particularly in drug discovery, drug delivery formulation development, polypharmacology, and hospital pharmacy, are covered in the current review paper.