Steven M Quarin, Der Vang, Ruxandra I Dima, George Stan, Pietro Strobbia
{"title":"AI in SERS sensing moving from discriminative to generative.","authors":"Steven M Quarin, Der Vang, Ruxandra I Dima, George Stan, Pietro Strobbia","doi":"10.1038/s44328-025-00033-2","DOIUrl":null,"url":null,"abstract":"<p><p>This perspective discusses the present and future role of artificial intelligence (AI) and machine learning (ML) in surface-enhanced Raman scattering (SERS) sensing. Our goal is to guide the reader through current applications, mainly focused on discriminative approaches aimed at developing new and improved SERS diagnostic capabilities, towards the future role of AI in SERS sensing, with the use of generative approaches to design new materials and biomaterials.</p>","PeriodicalId":501705,"journal":{"name":"npj Biosensing","volume":"2 1","pages":"9"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11845314/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Biosensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s44328-025-00033-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/21 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This perspective discusses the present and future role of artificial intelligence (AI) and machine learning (ML) in surface-enhanced Raman scattering (SERS) sensing. Our goal is to guide the reader through current applications, mainly focused on discriminative approaches aimed at developing new and improved SERS diagnostic capabilities, towards the future role of AI in SERS sensing, with the use of generative approaches to design new materials and biomaterials.
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