Anthony Alanis
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View article: Breast Cancer Cell Lines <scp>AT</scp> ‐3 and <scp>E0771</scp> Decrease Mechanical and Cold Sensitivity, Along With Oestrous Cycle and Inflammatory Marker Alterations, in Wild‐Type <scp>C57BL</scp> / <scp>6J</scp> Female Mice
Breast Cancer Cell Lines <span>AT</span> ‐3 and <span>E0771</span> Decrease Mechanical and Cold Sensitivity, Along With Oestrous Cycle and Inflammatory Marker Alterations, in Wild‐Type <span>C57BL</span> / <span>6J</span> Female Mice Open
Background Breast cancer represents the most common cancer diagnosis and the leading cause of cancer‐related death in women. Cancer is also associated with pain and changes in both tactile and temperature sensitivity that impair quality of…
View article: Strategic interventions in clinical randomized trials for metabolic dysfunction-associated steatotic liver disease (MASLD) and obesity in the pediatric population: a systematic review with meta-analysis and bibliometric analysis
Strategic interventions in clinical randomized trials for metabolic dysfunction-associated steatotic liver disease (MASLD) and obesity in the pediatric population: a systematic review with meta-analysis and bibliometric analysis Open
PROSPERO, CRD42023393952. Registered on January 25, 2023.
View article: Radiate & Educate: Empowering Future Physicians through an International Radiation Oncology Student Newsletter.
Radiate & Educate: Empowering Future Physicians through an International Radiation Oncology Student Newsletter. Open
The RadOnc Student Scan newsletter is a novel method of potentially increasing medical student exposure to RO. In addition to providing content for readers, the newsletter allowed editors to learn about RO while gaining valuable publishing…
View article: Associations Between Radiation Oncologist Demographic Factors and Segmentation Similarity Benchmarks: Insights From a Crowd-Sourced Challenge Using Bayesian Estimation
Associations Between Radiation Oncologist Demographic Factors and Segmentation Similarity Benchmarks: Insights From a Crowd-Sourced Challenge Using Bayesian Estimation Open
PURPOSE The quality of radiotherapy auto-segmentation training data, primarily derived from clinician observers, is of utmost importance. However, the factors influencing the quality of clinician-derived segmentations are poorly understood…
View article: Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation
Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation Open
BACKGROUND Medical image auto-segmentation is poised to revolutionize radiotherapy workflows. The quality of auto-segmentation training data, primarily derived from clinician observers, is of utmost importance. However, the factors influen…