Aims: Radiotherapy is an essential component of cancer treatment, requiring accurate dose planning to optimise tumour control while sparing healthy tissues. This study, originating from a radiobiology workshop held during the 27th Congrès National de Cancérologie et de Radiothérapie-2024 in Sousse, Tunisia, aims to investigate advanced dose modelling approaches, focussing on the linear-quadratic (LQ) and linear-quadratic-linear (LQL) models, to refine the calculation of biologically effective doses (BED) and improve treatment personalisation.
Methods: The workshop brought together experts in the field to discuss and evaluate the latest advancements in dose modelling, providing a comprehensive overview of current best practices and emerging trends.
Systemic and organ-specific fibrotic disorders are a leading cause of death worldwide. Crosstalk between fibroblasts and macrophages has been suggested as a key event leading to either resolution or aberrant remodeling and fibrosis. This study sought to identify the impacts of the timing and effects of exposure to quiescent (basal) and transforming growth factor-β-stimulated (activated) fibroblast-secreted products on macrophage polarization and function.
View Article and Find Full Text PDFLipid dyshomeostasis and tau pathology are present in frontotemporal lobar degeneration (FTLD) and Alzheimer's disease (AD). However, the relationship between lipid dyshomeostasis and tau pathology remains unclear. We report that GRAM Domain Containing 1B (GRAMD1B), a nonvesicular cholesterol transporter, is increased in excitatory neurons of human neural organoids (HNOs) with the MAPT R406W mutation.
View Article and Find Full Text PDFComputational neurodegenerative neuropathology represents a transformative approach in the analysis and understanding of neurodegenerative diseases through utilization of whole slide images (WSIs) and advanced machine learning/artificial intelligence (ML/AI) techniques. This review explores the emerging field of computational neurodegenerative neuropathology, emphasizing its potential to enhance neuropathologic assessment, diagnosis, and research. Recent advancements in ML/AI technologies have significantly affected image-based medical fields, including anatomic pathology, by automating disease staging, identifying novel morphologic biomarkers, and uncovering new clinical insights via multi-modal AI approaches.
View Article and Find Full Text PDFLeaders undertaking the effort to dismantle structural inqualities at the organizational level often find traditional professional development on diversity, equity, and inclusion to be limited in scope, rarely leading to meaningful organizational change. The Racial Equity, Diversity, and Inclusion (REDI) Movement was developed in 2020 by associates within a Midwest university research center to increase efforts toward the pursuit of a holistic, systems-level approach to equity, social justice, and inclusion. REDI now includes several interventions that prepare associates and their teams to advance racial justice and equity across four levels of the REDI Framework: Intrapersonal, Interpersonal, Institutional, and Societal.
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