{"title":"人工智能(AI)与生物材料和生物医学的结合","authors":"Shuyan Han , Jun Wu","doi":"10.1016/j.smaim.2024.03.001","DOIUrl":null,"url":null,"abstract":"<div><p>With the rapid progress of information technology and life sciences, artificial intelligence (AI) technology has substantially changed the way in many areas of biomaterials and biomedicine, including biomaterials and formulation design, drug development, preclinical study, clinical diagnosis and treatment, as well as health management. This perspective outlines the key issues of AI in the fields of biomaterials and biomedicine applications, and analyzes some opportunities and challenges of AI in the biomedical and clinical development. The gap between experts from multiple disciplines and fields needs to be narrowed, and common participation should be applied to open the next frontier of integrated AI-biomedicine.</p></div>","PeriodicalId":22019,"journal":{"name":"Smart Materials in Medicine","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590183424000152/pdfft?md5=0aef4c180840a30d709a511a9a77a24c&pid=1-s2.0-S2590183424000152-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence (AI) meets biomaterials and biomedicine\",\"authors\":\"Shuyan Han , Jun Wu\",\"doi\":\"10.1016/j.smaim.2024.03.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>With the rapid progress of information technology and life sciences, artificial intelligence (AI) technology has substantially changed the way in many areas of biomaterials and biomedicine, including biomaterials and formulation design, drug development, preclinical study, clinical diagnosis and treatment, as well as health management. This perspective outlines the key issues of AI in the fields of biomaterials and biomedicine applications, and analyzes some opportunities and challenges of AI in the biomedical and clinical development. The gap between experts from multiple disciplines and fields needs to be narrowed, and common participation should be applied to open the next frontier of integrated AI-biomedicine.</p></div>\",\"PeriodicalId\":22019,\"journal\":{\"name\":\"Smart Materials in Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2590183424000152/pdfft?md5=0aef4c180840a30d709a511a9a77a24c&pid=1-s2.0-S2590183424000152-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Smart Materials in Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590183424000152\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Materials in Medicine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590183424000152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Engineering","Score":null,"Total":0}
Artificial intelligence (AI) meets biomaterials and biomedicine
With the rapid progress of information technology and life sciences, artificial intelligence (AI) technology has substantially changed the way in many areas of biomaterials and biomedicine, including biomaterials and formulation design, drug development, preclinical study, clinical diagnosis and treatment, as well as health management. This perspective outlines the key issues of AI in the fields of biomaterials and biomedicine applications, and analyzes some opportunities and challenges of AI in the biomedical and clinical development. The gap between experts from multiple disciplines and fields needs to be narrowed, and common participation should be applied to open the next frontier of integrated AI-biomedicine.