Artificial Intelligence: Comprehensive Overview and its Pharma Application

Abstract

Artificial Intelligence (AI) focuses in producing intelligent modeling, which helps in imagining knowledge, cracking problems and decision making. In the year 1943, the first work which is now recognized as AI was done by Warren McCulloch and Walter pits. Previously, Artificial Intelligence was only limited to the field of engineering, but recently, AI plays an important role in various fields of pharmacy like drug discovery, drug delivery formulation development, marketing, management, marketing, quality assurance, hospital pharmacy etc. In drug discovery and drug delivery formulation development, various Artificial Neural Networks (ANNs) like Deep Neural Networks (DNNs) or Recurrent Neural Networks (RNNs) are being employed. Several implementations of drug discovery have currently been analyzed and supported the power of the technology in quantitative structure-property relationship (QSPR) or quantitative structure-activity relationship (QSAR). In addition, de novo design promotes the invention of significantly newer drug molecules with regard to desired/optimal qualities. Now the robots are using in the various medical procedures as they are more trustworthy for doctors, as they are more advanced in their work, as they can do any task within the short time period and effectively than humans. This is concluded that AI is the new evolving field in every sector, even in pharmacy, and it need more development for updating the current scenario as well as for new researches.