制药业的人工智能新时代

Adarsh Dubey, Abhishek Yadav
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摘要

人工智能(AI)是制药业的未来。在人工智能的帮助下,我们的工作将变得更加轻松。在人工智能的帮助下,我们还可以提高制药业的产量,避免生产或制造过程中的危险和风险工作。未来,人工智能可以进行药物设计,发现新药,确定药物的化学结构。人工智能在临床研究中发挥着非常重要的作用。药物的药理作用是通过靶蛋白来实现的。人工智能可以帮助确定靶蛋白,并简化药物发现相关工作。人工智能将用于市场营销,如与患者或客户相关的信息或数据的收集和沉淀。制作必要的专业广告,提高产品销量。人工智能在制药行业将有不同类型的应用。人工智能将改变制药业或与药物相关的工作,这将是制药业的新革命。许多类型的人工智能机器人在不同的制药领域被发明出来,以帮助人类在制药业中进行制造或生产。人工智能对人类来说有利也有弊。本综述旨在说明,人工智能(AI)在给药纳米系统的设计、表征和生产方面大有裨益。此外,在大数据的帮助下,进行逆向工程和持续系统优化的能力正在成为可能。
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New Era’s of Artificial Intelligence in Pharmaceutical Industries
Artificial Intelligence (AI) is the future of pharmaceutical industries. We make our tasks easier with help of Artificial Intelligence in future. With help of Artificial Intelligence we can also increase in production in pharmaceutical industry, can be save of dangerous and risky works in the production or manufacturing. Artificial Intelligence can drugs designing in future and discover new drugs and determine the chemical structure of drugs. Artificial Intelligence is very important role play in clinical research. For the pharmacological action drugs are works with the target protein. Than this target proteins are show the pharmacological action and Artificial Intelligence is help in determination of target protein and Artificial Intelligence can easier the drug discovery related work. Artificial Intelligence will used in the marketing such as the patient or customer related information or data collection and deposition. Creation of essential and specialized advertisement for increase product Sell. Different type application will in pharmaceutical industry of Artificial intelligence. And AI will change the pharmaceutical industry or drug associated work and that is come new revolution in pharmacy. Many types AI robots are invented in various pharmacy fields for the help of human being in manufacturing or production in pharmaceutical industry. Artificial Intelligence will advantages and disadvantage for the human beings. This review aims that drug delivery nanosystems design, characterization, and production stand to benefit greatly from artificial intelligence (AI). Furthermore, the ability to perform reverse engineering and ongoing system optimisation is becoming possible with the help of big data.  
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