Application of artificial intelligence (AI) in pharmaceutical technology has increased over the years and the use of technology can save time and money while providing a better understanding of the relationships between different formulations and processes parameters. Artificial intelligence is a branch of the computer science that deals with the problem-solving by the aid of symbolized programming. It has greatly evolved in to a science of problems-solving with the huge applications in business, health care and engineering. The article describes the drugs discovery, tools of AI, manufacturing execution systems automated control processes systems, AI to predict new treatment development of novel peptides from natural foods, treatment and management of rare diseases, drug adherence and dosage, challenges to adoption of AI in pharma. Artificial intelligence is Pharma's next frontier in life sciences with the help of Artificial intelligence and Robots Automation become the result of Industrialization', driven by the need to increase productivity, to achieve consistent quality products and to remove hazardous and heavy work from workers. Recent trends of AI in pharmacy are PAT (Process analytical process), CFD (Computational fluid dynamics), Pharmaceutical automation in research and development which give detailed information about techniques that has already been used in healthcare such as inhaler designs, drug absorption and 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 and 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 and 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.
Loading....