Artificial Intelligence (AI) has become a popular remedy for issues involving numbers and data.
Numerous technological advances have resulted from this discovery in almost every industry,
including engineering, architecture, education, business, accounting, health, and so forth. AI has
made significant contributions to the healthcare industry in a number of areas, including the
management and storage of data and information about patient medical histories, medication
stocks, sale records, and more; automated machinery; software and computer applications; and
diagnostic tools like CT and MRI diagnostics. The goal of artificial intelligence (AI) is to create
intelligent modeling, which facilitates knowledge imagination, problem solving, and decision
making. These days, artificial intelligence (AI) is a major factor in many pharmacy domains,
including polypharmacology, hospital pharmacy, drug discovery, and drug delivery formulation
development. 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. Currently, a number of drug discovery implementations have been
examined, supporting the technology's potential in quantitative structure-property relationships
(QSPR) and quantitative structure-activity relationships (QSAR).
Keywords: Hospital pharmacy, drug delivery research, drug development, artificial
intelligence, and artificial neural networks
Publication date: 01/03/2025
https://ijbpas.com/pdf/2025/March/MS_IJBPAS_2025_8787.pdf
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https://doi.org/10.31032/IJBPAS/2025/14.3.8787
