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Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.
BMC Public Health
December 2024
Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.
View Article and Find Full Text PDFNon-enhancing margin and pial invasion in MRI can predict IDH status in glioma patients.
World Neurosurg
December 2024
Department of Pathology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Background: The presence of isocitrate dehydrogenase (IDH) mutations and 1p/19q codeletion significantly influences the diagnosis and prognosis of patients with lower-grade gliomas (LGGs). The ability to predict these molecular signatures preoperatively can inform surgical strategies. This study sought to establish an interpretable imaging feature set for predicting molecular signatures and overall survival in LGGs.
View Article and Find Full Text PDFClinical Spectrum and Prognosis of Atypical Autosomal Dominant Polycystic Kidney Disease Caused by Monoallelic Pathogenic Variants of IFT140.
Am J Kidney Dis
December 2024
Service de Néphrologie, Hémodialyse et Transplantation Rénale, Centre de référence MARHEA, CHRU Brest, Brest, France; Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Brussels, Belgium. Electronic address:
Rationale & Objective: Monoallelic predicted Loss-of-Function (pLoF) variants in IFT140 have recently been associated with an autosomal dominant polycystic kidney disease (ADPKD)-like phenotype. This study sought to enhance the characterization of this phenotype.
Study Design: Case series.
Lonicera caerulea genome reveals molecular mechanisms of freezing tolerance and anthocyanin biosynthesis.
J Adv Res
December 2024
Key Laboratory of Saline-alkali Vegetation Ecology Restoration (Northeast Forestry University), Ministry of Education, Harbin 150040, China; College of Life Science, Northeast Forestry University, Harbin 150040, China. Electronic address:
Introduction: Lonicera caerulea L. (blue honeysuckle) is a noteworthy fleshy-fruited tree and a prominent medicinal plant, which possesses notable characteristics such as exceptional resilience to winter conditions and early maturation, and the richest source of functional anthocyanins, particularly cyanidin-3-glucoside. The molecular mechanisms responsible for its freezing tolerance and anthocyanin biosynthesis remain largely unknown.
View Article and Find Full Text PDFDual-domain superoxide dismutase: In silico prediction directed combinatorial mutation for enhanced robustness and catalytic efficiency.
Int J Biol Macromol
December 2024
Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, TEDA, Tianjin 300457, PR China; Tianjin Key Laboratory of Microbial Functional Genomics, Tianjin 300457, PR China. Electronic address:
The robustness and catalytic activity of superoxide dismutase (SOD) are still the main factors limiting their application in industrial fields. This study aims to further improve the properties of a natural thermophilic iron/manganese dual-domain SOD (Fe/Mn-SODA fused with N-terminal polypeptide) from Geobacillus thermodenitrificans NG80-2 (GtSOD) by modifying its each domain using in-depth in silico prediction analysis as well as protein engineering. First, computational analysis of the N-terminal domain and GtSODA domain was respectively performed by using homologous sequence alignment and virtual mutagenesis.
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