Publications by authors named "E S Alley"
Article Synopsis
- Brain arteriovenous malformations (bAVMs) are risky blood vessel abnormalities in the brain caused by mutations, particularly in the KRAS gene.
- Research using mice models shows that these mutations lead to bAVMs in specific locations of the brain that match patterns found in humans, and these locations are tied to the likelihood of bleeding events.
- Blocking a specific pathway linked to KRAS mutations may offer a non-surgical treatment option for managing bAVMs, suggesting promising therapeutic approaches for affected patients.
Microvascular networks are challenging to model because these structures are currently near the diffraction limit for most advanced three-dimensional imaging modalities, including confocal and light sheet microscopy. This makes semantic segmentation difficult, because individual components of these networks fluctuate within the confines of individual pixels. Level set methods are ideally suited to solve this problem by providing surface and topological constraints on the resulting model, however these active contour techniques are extremely time intensive and impractical for terabyte-scale images.
View Article and Find Full Text PDFBackground: Social determinants of health thoroughly explored in the literature include insurance status, race, and ethnicity. There are over 50 million self-identifying Hispanics in the United States. This, however, represents a heterogeneous population.
View Article and Find Full Text PDFMutations in the gene are the most common gain-of-function mutations found in lung adenocarcinomas. The most common mutation, KRAS G12C, is present in 13% of lung adenocarcinomas. Sotorasib (AMG-510) is an irreversible small molecule inhibitor targeting KRAS G12C.
View Article and Find Full Text PDFArticle Synopsis
- Disparities in cancer treatment outcomes have been emphasized with recent advances in therapies, particularly in lung cancer, where sociodemographic and geographic factors affect patients' decisions to accept or decline chemotherapy.
- In a study analyzing data from the National Cancer Database, researchers found that factors such as older age, female sex, low income, lack of insurance, residence in New England, and higher comorbidity rates were linked to a higher likelihood of refusing treatment.
- To improve cancer care and reduce disparities, it is crucial to better understand the various influences on treatment decisions among patients.