FEASIBILITY OF POSTOPERATIVE SPINE STEREOTACTIC BODY RADIATION THERAPY IN PROXIMITY OF CARBON AND TITANIUM HYBRID IMPLANTS USING A ROBOTIC RADIOTHERAPY DEVICE

Feasibility of postoperative spine stereotactic body radiation therapy in proximity of carbon and titanium hybrid implants using a robotic radiotherapy device

Abstract Background and purpose To assess the feasibility of postoperative stereotactic body radiation therapy (SBRT) for patients with hybrid implants consisting of carbon fiber reinforced polyetheretherketone and titanium (CFP-T) using CyberKnife.Materials and methods All essential steps within a radiation therapy (RT) workflow were evaluated.Fir

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RAY TRACING RENDER MENGGUNAKAN FRAGMENT ANTI ALIASING

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High rate of completion of preventive therapy for latent tuberculosis infection among asylum seekers in a Swiss Canton

BACKGROUND: Preventive treatment may avoid future cases of tuberculosis among asylum seekers.The effectiveness of preventive treatment depends in large part on treatment completion.METHODS: In a prospective cohort study, Moisturiser asylum seekers of two of the Swiss Canton Vaud migration centres were screened with the Interferon Gamma Release Assa

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Transmission studies of chronic wasting disease to transgenic mice overexpressing human prion protein using the RT-QuIC assay

Abstract Chronic wasting disease (CWD) is a fatal prion disease which infects deer, elk and moose.CWD was first described as a wasting syndrome in captive deer in Colorado and Wyoming wildlife facilities from 1967 to 1979.Currently, CWD has been reported in 26 states of the USA, three Canadian provinces, South Korea, Norway and Finland.Since human

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Predictive Power Estimation Algorithm (PPEA)--a new algorithm to reduce overfitting for genomic biomarker discovery.

Toxicogenomics promises to aid in predicting adverse effects, understanding the mechanisms of drug action or toxicity, and uncovering unexpected or secondary pharmacology.However, modeling adverse effects using high dimensional and high noise genomic data is prone to over-fitting.Models constructed from such data sets often consist of a large numbe

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