Results 61 to 70 of about 615,516 (243)
Screening for lung cancer: A systematic review of overdiagnosis and its implications
Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz +12 more
wiley +1 more source
Objective: To qualitatively explore how farmers perceive personal risk of an occupational quad‐bike incident and develop a model of the factors that modify this perception. Methods: Grounded theory methods were used to inform data collection and analysis.
Lynne Clay +3 more
doaj +1 more source
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He +8 more
wiley +1 more source
An algorithm evaluation for discovering classification rules with gene expression programming
In recent years, evolutionary algorithms have been used for classification tasks. However, only a limited number of comparisons exist between classification genetic rule-based systems and gene expression programming rule-based systems.
Alain Guerrero-Enamorado +3 more
doaj +1 more source
Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son +13 more
wiley +1 more source
API design for machine learning software: experiences from the scikit-learn project [PDF]
Scikit-learn is an increasingly popular machine learning li- brary. Written in Python, it is designed to be simple and efficient, accessible to non-experts, and reusable in various contexts.
Blondel, Mathieu +14 more
core +3 more sources
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié +13 more
wiley +1 more source
Community-Based Learning: A Primer
Employers are increasingly demanding graduates with industry-ready communication, leadership, emotional intelligence and social ethics skills. Community-based learning (CBL) is a pedagogical approach which has tremendous potential to produce graduates ...
Geraldine Dowling +2 more
doaj +1 more source
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Reframing Professionalism: The Virtuous Professional
In response to prevalent unprofessional behaviors during the 1990s, the medical school administration at Michigan State University's College of Human Medicine developed a student curriculum for professional development, called "The Virtuous Student ...
William Wadland +7 more
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