{"title":"彻底改变药物发现:人工智能对药理学和制药业进步的影响","authors":"Seema Yadav , Abhishek Singh , Rishika Singhal , Jagat Pal Yadav","doi":"10.1016/j.ipha.2024.02.009","DOIUrl":null,"url":null,"abstract":"<div><p>To create novel treatments and treat complex diseases, the pharmaceutical sector is essential. Drug discovery, however, is a time-consuming, pricey, and dangerous endeavor. Artificial intelligence (AI) has become a potent instrument that has transformed several industries, including healthcare, in recent years. This summary gives a general overview of how AI is expediting the creation of novel medicines, revolutionizing the pharmaceutical sector, and enabling drug discovery. The pharmaceutical sector is experiencing a drug discovery revolution because of AI. The drug discovery process is changing at different phases because of AI approaches like machine learning and deep learning. This abstract demonstrates how AI facilitates drug development through target identification, lead compound optimization, drug design, drug repurposing, and clinical trial enhancement. AI integration has the potential to hasten the creation of novel treatments, save costs, and improve patient outcomes. To fully realize the potential of AI in pharmaceutical research and development, issues relating to data accessibility, algorithm interpretability, and laws must be resolved.</p></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"2 3","pages":"Pages 367-380"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949866X24000327/pdfft?md5=16a7341794a2e4603b3115e396701380&pid=1-s2.0-S2949866X24000327-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Revolutionizing drug discovery: The impact of artificial intelligence on advancements in pharmacology and the pharmaceutical industry\",\"authors\":\"Seema Yadav , Abhishek Singh , Rishika Singhal , Jagat Pal Yadav\",\"doi\":\"10.1016/j.ipha.2024.02.009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>To create novel treatments and treat complex diseases, the pharmaceutical sector is essential. Drug discovery, however, is a time-consuming, pricey, and dangerous endeavor. Artificial intelligence (AI) has become a potent instrument that has transformed several industries, including healthcare, in recent years. This summary gives a general overview of how AI is expediting the creation of novel medicines, revolutionizing the pharmaceutical sector, and enabling drug discovery. The pharmaceutical sector is experiencing a drug discovery revolution because of AI. The drug discovery process is changing at different phases because of AI approaches like machine learning and deep learning. This abstract demonstrates how AI facilitates drug development through target identification, lead compound optimization, drug design, drug repurposing, and clinical trial enhancement. AI integration has the potential to hasten the creation of novel treatments, save costs, and improve patient outcomes. To fully realize the potential of AI in pharmaceutical research and development, issues relating to data accessibility, algorithm interpretability, and laws must be resolved.</p></div>\",\"PeriodicalId\":100682,\"journal\":{\"name\":\"Intelligent Pharmacy\",\"volume\":\"2 3\",\"pages\":\"Pages 367-380\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2949866X24000327/pdfft?md5=16a7341794a2e4603b3115e396701380&pid=1-s2.0-S2949866X24000327-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Intelligent Pharmacy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949866X24000327\",\"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/S2949866X24000327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Revolutionizing drug discovery: The impact of artificial intelligence on advancements in pharmacology and the pharmaceutical industry
To create novel treatments and treat complex diseases, the pharmaceutical sector is essential. Drug discovery, however, is a time-consuming, pricey, and dangerous endeavor. Artificial intelligence (AI) has become a potent instrument that has transformed several industries, including healthcare, in recent years. This summary gives a general overview of how AI is expediting the creation of novel medicines, revolutionizing the pharmaceutical sector, and enabling drug discovery. The pharmaceutical sector is experiencing a drug discovery revolution because of AI. The drug discovery process is changing at different phases because of AI approaches like machine learning and deep learning. This abstract demonstrates how AI facilitates drug development through target identification, lead compound optimization, drug design, drug repurposing, and clinical trial enhancement. AI integration has the potential to hasten the creation of novel treatments, save costs, and improve patient outcomes. To fully realize the potential of AI in pharmaceutical research and development, issues relating to data accessibility, algorithm interpretability, and laws must be resolved.