B
Bo Lu
Researcher at Ohio State University
Publications - 390
Citations - 24905
Bo Lu is an academic researcher from Ohio State University. The author has contributed to research in topics: Cancer & Lung cancer. The author has an hindex of 58, co-authored 353 publications receiving 21823 citations. Previous affiliations of Bo Lu include Wuhan University of Technology & Wuhan University.
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The use of antisense oligonucleotides in evaluating survivin as a therapeutic target for radiation sensitization in lung cancer
TL;DR: The following protocol was used to determine the mechanism for the reduced expression of an antiapoptotic factor, survivin, in normal tissues in response to radiation and the defect in cancer cells that prevents this reduction.
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Targeting Regulated Cell Death with Pharmacological Small Molecules: An Update on Autophagy-Dependent Cell Death, Ferroptosis, and Necroptosis in Cancer.
TL;DR: This work focuses on the key molecular insights into ADCD, ferroptosis, and necroptosis and summarize the corresponding small molecules in potential cancer therapy and the relationships between the three subroutines and small molecules modulating the crosstalk are discussed.
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Evaluation of Elekta 4D cone beam CT-based automatic image registration for radiation treatment of lung cancer
TL;DR: The automatic registrations using three different landmarks for clipbox showed similar results, suggesting that one can use any of the three landmarks in 4D CBCT dual-image registration.
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Impact of scanning parameters and breathing patterns on image quality and accuracy of tumor motion reconstruction in 4D CBCT: a phantom study
TL;DR: Four‐dimensional, cone‐beam CT (4D CBCT) substantially reduces respiration‐induced motion blurring artifacts in three‐dimension (3D) CBCT, which may affect its accuracy in localizing a mobile tumor for high‐precision, image‐guided radiation therapy (IGRT).
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Estimating the Effect of Premarital Cohabitation on Timing of Marital Disruption: Using Propensity Score Matching in Event History Analysis
TL;DR: In this paper, the authors extend the propensity score method by matching on multiple groups and apply Cox proportional hazards models to explore how premarital cohabitation history affects marital disruption.