Publications by authors named "Yeman B Hagos"
Article Synopsis
- Bone marrow trephine biopsy is essential for diagnosing multiple myeloma, but its complex cellular architecture makes evaluation challenging.
- A new deep learning method called MoSaicNet, along with AwareNet, effectively analyzes these samples, showing high accuracy in classifying tissues and rare cells.
- Findings reveal that the main differences between multiple myeloma and related conditions lie in spatial heterogeneity rather than cell density, and treatment alters the immune microenvironment and reduces bone heterogeneity.
Article Synopsis
- - The study focuses on the complex organization of immune cells within lymphoid tissues in patients with follicular lymphoma (FL), using advanced image analysis to assess interactions among T cells, macrophages, and other immune cells in biopsy samples from 32 patients.
- - Findings revealed that lower densities of specific immune cells (CD8+FOXP3+) in certain areas were linked to a higher risk of cancer relapse and shorter progression times, indicating their potential significance in FL prognosis.
- - The research suggests that the spatial relationships between immune cells, particularly the co-localization of CD8+FOXP3+ with CD4+CD8+ cells, could serve as important predictors for disease progression, prompting the need for additional studies with larger groups.*
Before squamous cell lung cancer develops, precancerous lesions can be found in the airways. From longitudinal monitoring, we know that only half of such lesions become cancer, whereas a third spontaneously regress. Although recent studies have described the presence of an active immune response in high-grade lesions, the mechanisms underpinning clinical regression of precancerous lesions remain unknown.
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