Zobrazeno 1 - 10
of 238
pro vyhledávání: '"Brian, Murray"'
Autor:
Brian Murray, PharmD, Janhavi Athale, MD, Robert A. Balk, MD, MCCM, Michael L. Behal, PharmD, Judah E. Brown, PharmD, Tyler Chanas, PharmD, Roxana Dumitru, PharmD, Dalton C. Gifford, DMSc, Benjamin Hohlfelder, PharmD, Honey M. Jones, DNP, FAANP, FCCM, Mary Beth F. Makic, PhD, FAAN, FNAP, FCNS, Michelle S. Rausen, MS, Alicia J. Sacco, PharmD, FCCM, Benjamin J. Sines, MD, Payal K. Gurnani, PharmD, FCCM
Publikováno v:
Critical Care Explorations, Vol 6, Iss 10, p e1162 (2024)
OBJECTIVES:. We aimed to summarize the most significant and impactful publications describing the pharmacotherapeutic care of critically ill patients in 2023. DATA SOURCES:. PubMed/MEDLINE and the Clinical Pharmacy and Pharmacology Pharmacotherapy Li
Externí odkaz:
https://doaj.org/article/ae375d80236441a29afa9d8cef40d773
Publikováno v:
Pulmonary Circulation, Vol 14, Iss 2, Pp n/a-n/a (2024)
Abstract Prostacyclin therapy is a mainstay of the management of pulmonary arterial hypertension (PAH). Inhaled prostacyclins present safe and effective options for the management of PAH that limit systemic side effects. We describe the first reporte
Externí odkaz:
https://doaj.org/article/29dd8285d622496ab997adb3e98568d5
Autor:
Andrea Sikora, Tianyi Zhang, David J. Murphy, Susan E. Smith, Brian Murray, Rishikesan Kamaleswaran, Xianyan Chen, Mitchell S. Buckley, Sandra Rowe, John W. Devlin
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Fluid overload, while common in the ICU and associated with serious sequelae, is hard to predict and may be influenced by ICU medication use. Machine learning (ML) approaches may offer advantages over traditional regression techniques to pre
Externí odkaz:
https://doaj.org/article/cf4fbeec93bb4d0daf307ecf569e5fa7
Autor:
Andrea Sikora, Hayoung Jeong, Mengyun Yu, Xianyan Chen, Brian Murray, Rishikesan Kamaleswaran
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Unsupervised clustering of intensive care unit (ICU) medications may identify unique medication clusters (i.e., pharmacophenotypes) in critically ill adults. We performed an unsupervised analysis with Restricted Boltzmann Machine of 991 medi
Externí odkaz:
https://doaj.org/article/333b1f2986d34ef189d94d671cc4e71c
Autor:
Brian Murray
Managers are increasingly employing teams as a primary work unit in organizations, but they are struggling with how to effectively lead the emerging team structures. Intensifying the challenges that they are facing, work restrictions due to the Covid
Autor:
Andrea Sikora, John W. Devlin, Mengyun Yu, Tianyi Zhang, Xianyan Chen, Susan E. Smith, Brian Murray, Mitchell S. Buckley, Sandra Rowe, David J. Murphy
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract While medication regimen complexity, as measured by a novel medication regimen complexity-intensive care unit (MRC-ICU) score, correlates with baseline severity of illness and mortality, whether the MRC-ICU improves hospital mortality predic
Externí odkaz:
https://doaj.org/article/a0b75b6d16b44ee79384d7138fc22823
Publikováno v:
Clinical and Translational Science, Vol 16, Iss 5, Pp 861-871 (2023)
Abstract Tacrolimus (TAC) and mycophenolic acid (MPA) provide maintenance immunosuppression and is dosed empirically in elderly kidney transplant recipients (KTRs) resulting in health inequities. Limited immunosuppressive pharmacokinetics are availab
Externí odkaz:
https://doaj.org/article/440f0d06625b4bc99627ccf84b92eb19
Autor:
Andrea Sikora, Alireza Rafiei, Milad Ghiasi Rad, Kelli Keats, Susan E. Smith, John W. Devlin, David J. Murphy, Brian Murray, Rishikesan Kamaleswaran, MRC-ICU Investigator Team
Publikováno v:
Critical Care, Vol 27, Iss 1, Pp 1-13 (2023)
Abstract Background Identifying patterns within ICU medication regimens may help artificial intelligence algorithms to better predict patient outcomes; however, machine learning methods incorporating medications require further development, including
Externí odkaz:
https://doaj.org/article/717608b53b034b168b2bc8a6cd12005d
Ship behavior prediction via trajectory extraction-based clustering for maritime situation awareness
Autor:
Brian Murray, Lokukaluge Prasad Perera
Publikováno v:
Journal of Ocean Engineering and Science, Vol 7, Iss 1, Pp 1-13 (2022)
This study presents a method in which historical AIS data are used to predict the future trajectory of a selected vessel. This is facilitated via a system intelligence-based approach that can be subsequently utilized to provide enhanced situation awa
Externí odkaz:
https://doaj.org/article/c803ae5b81104a92b93997e39d2972f4
Publikováno v:
IEEE Photonics Journal, Vol 14, Iss 2, Pp 1-11 (2022)
The use of electrical precompensation for high-speed operation of lumped MZMs is demonstrated for 50 Gb/s PAM4 modulation through experiment and simulation. An accurate equivalent circuit model is fitted to S11 measurements and then used to analyse d
Externí odkaz:
https://doaj.org/article/ed60bd4b1be34260ba4cb496ad213b04