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Tina D. Tailor

Researcher at Duke University

Publications -  34
Citations -  985

Tina D. Tailor is an academic researcher from Duke University. The author has contributed to research in topics: Population & Lung cancer. The author has an hindex of 10, co-authored 29 publications receiving 792 citations. Previous affiliations of Tina D. Tailor include University of Washington & Durham University.

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Chemical and Biological Applications of Digital-Microfluidic Devices

TL;DR: This article reviews efforts to develop various LoC applications using electrowetting-based digital microfluidics, and describes these applications, their implementation, and associated design issues.
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Orbital Neoplasms in Adults: Clinical, Radiologic, and Pathologic Review

TL;DR: MR imaging is particularly valuable for evaluation of orbital neoplasms, as it provides critical anatomic information about ocular structures involved, perineural spread, and intracranial extension.
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Effect of Pazopanib on Tumor Microenvironment and Liposome Delivery

TL;DR: The results suggest that the classic definition of tumor “normalization” may undermine the crucial role of vessel permeability and oncotic pressure gradients in liposomal drug delivery, and that functional measures of normalization, such as reduced IFP and hypoxia, may not occur in parallel temporal windows.
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Dynamic Contrast-Enhanced MR Imaging in Head and Neck Cancer: Techniques and Clinical Applications

TL;DR: Dynamic contrast-enhanced MR imaging has the potential to identify early locoregional recurrence, differentiate metastatic lymph nodes from normal nodes, and predict tumor response to treatment and treatment monitoring in patients with head and neck cancer.
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Geographic Access to CT for Lung Cancer Screening: A Census Tract-Level Analysis of Cigarette Smoking in the United States and Driving Distance to a CT Facility.

TL;DR: In this article, the authors determined the geographic distribution of US smokers and their driving distance to an ACR-accredited CT facility using a geographic information system (GIS) from the centroid of each census tract to the nearest CT facility.