{"title":"人工智能对制药行业的干预:革命性的药物发现和制造","authors":"Vijeth N. Bhat , Swati Bharati , Chellampillai Bothiraja , Jaiprakash Sangshetti , Vinod Gaikwad","doi":"10.1016/j.ipha.2025.04.001","DOIUrl":null,"url":null,"abstract":"<div><div>Artificial intelligence (AI) is designed to mimic human intelligence in machines. The growth of information technology and advancement in the computing power of computers provided a great platform for progress in many pharmaceutical industry and healthcare sectors. Leading to the consolidation of the pharmaceutical, and healthcare industries with AI companies. AI is used in various departments of the pharmaceutical sector such as drug discovery, development, target identification, manufacturing process, dosage design, clinical trial design, and many more. There are several challenges and limitations of AI that must be addressed by the pharmaceutical industry before its adoption and successful integration into various processes. The present article is focused on Artificial Neural Networks in the pharmaceutical sector, Drug design and discovery, drug repurposing, research and development, pharmaceutical product development, manufacturing process, quality assurance and quality controls, and some challenges and prospects of AI.</div></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"3 5","pages":"Pages 342-349"},"PeriodicalIF":0.0000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A review on intervention of AI in pharmaceutical sector: Revolutionizing drug discovery and manufacturing\",\"authors\":\"Vijeth N. Bhat , Swati Bharati , Chellampillai Bothiraja , Jaiprakash Sangshetti , Vinod Gaikwad\",\"doi\":\"10.1016/j.ipha.2025.04.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Artificial intelligence (AI) is designed to mimic human intelligence in machines. The growth of information technology and advancement in the computing power of computers provided a great platform for progress in many pharmaceutical industry and healthcare sectors. Leading to the consolidation of the pharmaceutical, and healthcare industries with AI companies. AI is used in various departments of the pharmaceutical sector such as drug discovery, development, target identification, manufacturing process, dosage design, clinical trial design, and many more. There are several challenges and limitations of AI that must be addressed by the pharmaceutical industry before its adoption and successful integration into various processes. The present article is focused on Artificial Neural Networks in the pharmaceutical sector, Drug design and discovery, drug repurposing, research and development, pharmaceutical product development, manufacturing process, quality assurance and quality controls, and some challenges and prospects of AI.</div></div>\",\"PeriodicalId\":100682,\"journal\":{\"name\":\"Intelligent Pharmacy\",\"volume\":\"3 5\",\"pages\":\"Pages 342-349\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Intelligent Pharmacy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949866X25000267\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligent Pharmacy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949866X25000267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A review on intervention of AI in pharmaceutical sector: Revolutionizing drug discovery and manufacturing
Artificial intelligence (AI) is designed to mimic human intelligence in machines. The growth of information technology and advancement in the computing power of computers provided a great platform for progress in many pharmaceutical industry and healthcare sectors. Leading to the consolidation of the pharmaceutical, and healthcare industries with AI companies. AI is used in various departments of the pharmaceutical sector such as drug discovery, development, target identification, manufacturing process, dosage design, clinical trial design, and many more. There are several challenges and limitations of AI that must be addressed by the pharmaceutical industry before its adoption and successful integration into various processes. The present article is focused on Artificial Neural Networks in the pharmaceutical sector, Drug design and discovery, drug repurposing, research and development, pharmaceutical product development, manufacturing process, quality assurance and quality controls, and some challenges and prospects of AI.