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Foreword Identification and Control in Biomedical Applications
Univ Poitiers, F-86073 Poitiers, France.ORCID iD: 0000-0001-9224-4894
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control.ORCID iD: 0000-0002-6608-250x
Arizona State Univ, Sch Engn Matter Transport & Energy Mail, Tempe, AZ 85287 USA.
Kansas State Univ, Coll Engn, Dept Elect & Comp Engn, Manhattan, KS 66506 USA.
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2020 (English)In: IEEE Transactions on Control Systems Technology, ISSN 1063-6536, E-ISSN 1558-0865, Vol. 28, no 1, p. 1-2Article in journal, Editorial material (Other academic) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2020. Vol. 28, no 1, p. 1-2
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Control Engineering
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URN: urn:nbn:se:uu:diva-403533DOI: 10.1109/TCST.2019.2957597ISI: 000505786600001OAI: oai:DiVA.org:uu-403533DiVA, id: diva2:1390089
Available from: 2020-01-31 Created: 2020-01-31 Last updated: 2020-01-31Bibliographically approved

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Medvedev, Alexander

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