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Eshan Dahal

Researcher at University of Maryland, College Park

Publications -  17
Citations -  204

Eshan Dahal is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Imaging phantom & Virtual reality. The author has an hindex of 5, co-authored 15 publications receiving 115 citations. Previous affiliations of Eshan Dahal include Food and Drug Administration & Center for Devices and Radiological Health.

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Journal ArticleDOI

Enhanced Loading of Functional miRNA Cargo via pH Gradient Modification of Extracellular Vesicles

TL;DR: It is reported that protonation of EVs to generate a pH gradient across EV membranes can be utilized to enhance vesicle loading of nucleic acid cargo, specifically microRNA (miRNA), small interfering RNA (siRNA), and single-stranded DNA (ssDNA).
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Evaluation of the catalytic activity and cytotoxicity of palladium nanocubes: the role of oxygen.

TL;DR: The effects of palladium nanocubes can be used as an apoptosis inducing agent, but only with appropriate drug delivery system, and the effects are very sensitive to how well the pristine surface of PdNC is preserved.
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Technical Note: In silico imaging tools from the VICTRE clinical trial.

TL;DR: The set of in silico imaging software tools used in the VICTRE (Virtual Clinical Trial for Regulatory Evaluation) which replicated a traditional trial using a computational pipeline is described.
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Stable gelatin-based phantom materials with tunable x-ray attenuation properties and 3D printability for x-ray imaging.

TL;DR: These gelatin-based phantom materials can be used to 3D print realistic phantoms that mimic x-ray properties of various biological tissues and also study the feasibility of 3D printing them based on the extrusion-based technique.
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Structural evaluation of an amyloid fibril model using small-angle x-ray scattering

TL;DR: This easily detectable and well-characterized amyloid fibril model from BSA can be readily used as a control or standard reference to further investigate SAXS applications in the detection of structurally diverse amyloids fibrils associated with protein aggregation diseases.