G. Mercère, A. Medvedev, D. Rivera, Caterina M. Scoglio, B. Jayawardhana
{"title":"Foreword Identification and Control in Biomedical Applications","authors":"G. Mercère, A. Medvedev, D. Rivera, Caterina M. Scoglio, B. Jayawardhana","doi":"10.1109/tcst.2019.2957597","DOIUrl":null,"url":null,"abstract":"Control engineering (in the broad sense of the term) has become an important enabling technology in many areas of medicine. Prominent examples include the artificial pancreas, closed-loop anesthesia, and personalized drug dosing strategies in neurology, oncology, endocrinology, and psychiatry. It is a testament to the power of control systems that allow individualizing treatment by providing mechanisms for linking treatment goals to treatment regimens, thus achieving a desired therapeutic effect. Consequently, the arrival of control systems engineering to the clinic enables the visionary concept of \"treat the patient, not the disease\" technologically and economically feasible.","PeriodicalId":13214,"journal":{"name":"IEEE Trans. Control. Syst. Technol.","volume":"40 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Trans. Control. Syst. Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/tcst.2019.2957597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Control engineering (in the broad sense of the term) has become an important enabling technology in many areas of medicine. Prominent examples include the artificial pancreas, closed-loop anesthesia, and personalized drug dosing strategies in neurology, oncology, endocrinology, and psychiatry. It is a testament to the power of control systems that allow individualizing treatment by providing mechanisms for linking treatment goals to treatment regimens, thus achieving a desired therapeutic effect. Consequently, the arrival of control systems engineering to the clinic enables the visionary concept of "treat the patient, not the disease" technologically and economically feasible.