Artificial intelligence in advanced pharmacy

Tamanna Sharma 1, *, Abhinav Mankoo 1 and Vivek Sood 2

1 Pharmaceutical Sciences, Ggn Khalsa College of Pharmacy, Ludhiana, Punjab, India.
2 Cosmos Research lab. limited, Hambran Road, Ludhiana, Punjab, India.
 
Review
International Journal of Science and Research Archive, 2021, 02(01), 047-054.
Article DOI: 10.30574/ijsra.2021.2.1.0301
Publication history: 
Received on 10 January 2021; revised on 02 Februay 2021; accepted on 04 Februay 2021
 
Abstract: 
Artificial intelligence (AI) is Pharma's next frontier in life sciences. This article analyze about the recently techniques of AI that aims to imitate human intelligence functions i.e. with the help of Artificial intelligence & Robots ‘Automation become the result of Industrialization’, driven by the need to increase productivity, to achieve consistent quality products & to remove hazardous and heavy work from workers. Recent trends of AI in pharmacy are PAT, CFD, Pharmaceutical automation in research & development which give detailed information about techniques that has already been used in healthcare such as inhaler designs, drug absorption & dissolution and is disease focused. A robot for pharmaceutical applications has a bright future but with the rapidly aging population that urgently requires sophisticated medical devices & newer drugs, robotics systems are increasingly adopted for improved productivity and efficiency to meet this growing demand. However, robots manufacturers face several challenges in their effort to establish themselves in pharmaceutical applications. AI with robotics in the life of mankind has several advantages & disadvantages. Despite the increasingly rich AI literature from the drug discovery to care options AI techniques are used such as in ANN [artificial neural network], machine learning, AI in healthcare, AI in clinical practice. This research mainly concentrates around a few disease types: Cancer, Nervous system and cardiovascular diseases as they are life threatening. The future is always hard to predict, but it will be determined by AI as it would become the next frontier in pharmacy.
 
Keywords: 
Artificial intelligence [AI]; Chatbots; Computational fluid dynamics [CFD]; Robots, Artifical neural network; Applications of AI
 
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