Oliver Hubbard
· ProfessorVerifiedUniversity of Utah · Department of Pharmaceutics & Pharmaceutical Chemistry
Active 2008–2024
Research topics
- Anesthesia
- Medicine
- Chromatography
- Chemistry
- Organic chemistry
- Pharmacology
- Nanotechnology
- Internal medicine
- Materials science
- Biochemistry
Selected publications
Reducing hydrophobic drug adsorption in an in-vitro extracorporeal membrane oxygenation model
European Journal of Pharmaceutics and Biopharmaceutics · 2024 · 1 citations
- Chemistry
- Chromatography
- Pharmacology
Journal of ExtraCorporeal Technology · 2023 · 6 citations
- Medicine
- Anesthesia
- Pharmacology
BACKGROUND: Extracorporeal membrane oxygenation (ECMO) is a cardiopulmonary bypass device that provides life-saving complete respiratory and cardiac support in patients with cardiorespiratory failure. The majority of drugs prescribed to patients on ECMO lack a dosing strategy optimized for ECMO patients. Several studies demonstrated that dosing is different in this population because the ECMO circuit components can adsorb drugs and affect drug exposure substantially. Saturation of ECMO circuit components by drug disposition has been posited but has not been proven. In this study, we have attempted to determine if propofol adsorption is saturable in ex vivo ECMO circuits. METHODS: We injected ex vivo ECMO circuits with propofol, a drug that is highly adsorbed to the ECMO circuit components. Propofol was injected as a bolus dose (50 μg/mL) and a continuous infusion dose (6 mg/h) to investigate the saturation of the ECMO circuit. RESULTS: After the bolus dose, only 27% of propofol was recovered after 30 minutes which is as expected. However, >80% propofol was recovered after the infusion dose which persisted even when the infusion dose was discontinued. CONCLUSION: Our results suggest that if ECMO circuits are dosed directly with propofol, drug adsorption can be eliminated as a cause for altered drug exposure. Field of Research: Artificial Lung/ECMO.
The AAPS Journal · 2023 · 8 citations
- Chromatography
- Anesthesia
- Medicine
Impact of wind turbines On ATC radars and mitigation results
2013-04-01 · 4 citations
articleThis paper first describes the impact of wind turbines on air traffic control (ATC) radar based on theoretical modeling and simulation. Real data are collected from operational ATC radar sites surrounded by major wind farms and analyzed to demonstrate features of wind turbine signals. A series of systematic mitigation methods are proposed and implemented for the existing ATC radar to improve the aircraft detection and tracking performance over the wind farm area. The experimental results from field trials are presented to verify the effectiveness of each method.
2008-05-01 · 29 citations
articleIn the past decade many countries have launched programs to deploy wind turbines as alternative sources of electrical energy. When deployed in wind farms this technology has raised concerns from both air traffic control (ATC) and military authorities. This is due to the fact that the turbine blades return radar echoes that have the potential to distract and confuse the air traffic picture by creating false detections that can effectively mask genuine aircraft returns. Most of the mitigation solutions offered today are either primarily based on such measures as range-azimuth gating or inhibiting track initiation in the vicinity of wind farms. These draconian measures can result in a significant degradation in radar performance and potential air traffic control disruption. They may also require costly redesign of the existing radars. This paper presents a set of 'clean' solutions that mitigate, and in some cases completely eliminate the effect of wind turbine returns. The solution is based on the combination of discrimination techniques applied at the pre-detection, detection and post detection stages of the radar signal processing chain. The suit of mitigation solutions developed does not adversely affect aircraft detection, and can be readily retrofitted to the existing ATC primary surveillance radars (PSR).
Frequent coauthors
- 3 shared
Hamidreza Ghandehari
University of Utah
- 3 shared
Kevin M. Watt
University of Utah
- 3 shared
Nitish Khurana
- 3 shared
Venkata K. Yellepeddi
University of Utah
- 2 shared
Till Sünner
Philipps University of Marburg
- 2 shared
Carina Imburgia
University of Utah
- 1 shared
Jian Wang
National University of Defense Technology
- 1 shared
Leonov Sergey
RTX (United States)
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