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.
Highlights
Artificial intelligence (AI) is Pharma's 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
Artificial intelligence may be characterized as the scientific discipline pertaining to research studies, projects and applications that aim at supporting decision based medical tasks through knowledge or on computer based solutions that support and improve performance of a Human care provider [7]
Summary
The current pharmaceutical industry’s environment is plagued with expensive and lengthy drug discovery cycles coupled with pricing pressure by both Payers and Consumers. It is not enough to analyze drug discovery data but to remain competitive, Pharma must learn from the analytics .This is accomplished through yet another Disruptive technology -Artificial Intelligence [1]. Artificial intelligence may be characterized as the scientific discipline pertaining to research studies, projects and applications that aim at supporting decision based medical tasks through knowledge or on computer based solutions that support and improve performance of a Human care provider [7]. Innovations in technology comprise the essential building blocks of Automation .Most Pharma players understand the benefit of adopting new technologies but there remains a persistent and troubling gap between strategy and organizations ability to adopt and deploy a data analytics working solution [1, 3]. The adoption of AI allows for learning from real - time data
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