Kokilavani R, Hiranmoy Kotal, Ajeet Kumar Kaushik, Saikat Kumar Jana
{"title":"评论-用于人类生殖系统癌症诊断的纳米技术辅助电化学免疫传感器:从实验室到临床再到个性化医疗服务","authors":"Kokilavani R, Hiranmoy Kotal, Ajeet Kumar Kaushik, Saikat Kumar Jana","doi":"10.1149/1945-7111/ad4c57","DOIUrl":null,"url":null,"abstract":"\n Immunosensors have emerged as vital tools in cancer diagnostics, providing simplified and rapid detection of biomarkers that are necessary for timely diagnosis. The objective of using an electrochemical immunosensor is to detect cancers at early stages, so that obtained biological information can be analyzed using artificial intelligence (AI) for deciding an appropriate treatment, avoiding false diagnosis, and preventing patient fatalities. The focus of this article is on four major reproductive cancers—breast, ovarian, cervical, and prostate cancers. Specifically, it explores the identification and optimization of biomarkers crucial for precise detection in these cancers. Examining a decade of research, the review delves into nanotechnology-assisted electrochemical immunosensors (affinity biosensors), outlining advancements and emphasizing their potential in reproductive cancer diagnostics. Furthermore, the review contemplates avenues for enhancing sensor characteristics to pave the way for their application in field diagnosis, with a forward-looking perspective on AI-assisted diagnostics for the next generation of personalized healthcare. In navigating the landscape of reproductive cancer diagnostics, the integration of advanced technologies promises to transform our approach, offering improved accuracy and outcomes for patients.","PeriodicalId":509718,"journal":{"name":"Journal of The Electrochemical Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Review—Nanotechnology-Assisted Electrochemical Immunosensors for Human Reproductive Cancer Diagnostics: Toward Laboratory to Clinics to Personalized Health Care\",\"authors\":\"Kokilavani R, Hiranmoy Kotal, Ajeet Kumar Kaushik, Saikat Kumar Jana\",\"doi\":\"10.1149/1945-7111/ad4c57\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Immunosensors have emerged as vital tools in cancer diagnostics, providing simplified and rapid detection of biomarkers that are necessary for timely diagnosis. The objective of using an electrochemical immunosensor is to detect cancers at early stages, so that obtained biological information can be analyzed using artificial intelligence (AI) for deciding an appropriate treatment, avoiding false diagnosis, and preventing patient fatalities. The focus of this article is on four major reproductive cancers—breast, ovarian, cervical, and prostate cancers. Specifically, it explores the identification and optimization of biomarkers crucial for precise detection in these cancers. Examining a decade of research, the review delves into nanotechnology-assisted electrochemical immunosensors (affinity biosensors), outlining advancements and emphasizing their potential in reproductive cancer diagnostics. Furthermore, the review contemplates avenues for enhancing sensor characteristics to pave the way for their application in field diagnosis, with a forward-looking perspective on AI-assisted diagnostics for the next generation of personalized healthcare. In navigating the landscape of reproductive cancer diagnostics, the integration of advanced technologies promises to transform our approach, offering improved accuracy and outcomes for patients.\",\"PeriodicalId\":509718,\"journal\":{\"name\":\"Journal of The Electrochemical Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of The Electrochemical Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1149/1945-7111/ad4c57\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Electrochemical Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1149/1945-7111/ad4c57","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Review—Nanotechnology-Assisted Electrochemical Immunosensors for Human Reproductive Cancer Diagnostics: Toward Laboratory to Clinics to Personalized Health Care
Immunosensors have emerged as vital tools in cancer diagnostics, providing simplified and rapid detection of biomarkers that are necessary for timely diagnosis. The objective of using an electrochemical immunosensor is to detect cancers at early stages, so that obtained biological information can be analyzed using artificial intelligence (AI) for deciding an appropriate treatment, avoiding false diagnosis, and preventing patient fatalities. The focus of this article is on four major reproductive cancers—breast, ovarian, cervical, and prostate cancers. Specifically, it explores the identification and optimization of biomarkers crucial for precise detection in these cancers. Examining a decade of research, the review delves into nanotechnology-assisted electrochemical immunosensors (affinity biosensors), outlining advancements and emphasizing their potential in reproductive cancer diagnostics. Furthermore, the review contemplates avenues for enhancing sensor characteristics to pave the way for their application in field diagnosis, with a forward-looking perspective on AI-assisted diagnostics for the next generation of personalized healthcare. In navigating the landscape of reproductive cancer diagnostics, the integration of advanced technologies promises to transform our approach, offering improved accuracy and outcomes for patients.