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020 ▼a 9780438290600
035 ▼a (MiAaPQ)AAI10824591
035 ▼a (MiAaPQ)ucdavis:17897
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 615
1001 ▼a Ellinwood, Nicholas.
24510 ▼a Computational Approaches to Atrial Fibrillation-selective Antiarrhythmic Therapy.
260 ▼a [S.l.]: ▼b University of California, Davis., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 176 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Eleonora Grandi.
5021 ▼a Thesis (Ph.D.)--University of California, Davis, 2018.
520 ▼a Atrial fibrillation (AF) is the most common cardiac arrhythmia (affecting &sim
520 ▼a To maximize efficacy and minimize proarrhythmic risk, an AF-selective drug should exert potent effects on fibrillating atria without significantly impacting ventricular tissue function during normal sinus rhythm (nSR). A potential strategy to ac
590 ▼a School code: 0029.
650 4 ▼a Pharmacology.
690 ▼a 0419
71020 ▼a University of California, Davis. ▼b Pharmacology and Toxicology.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0029
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998679 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033