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Predicting fall parameters from infant skull fractures using machine learning.

Biomech Model Mechanobiol

January 2025

Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, 84112, USA.

When infants are admitted to the hospital with skull fractures, providers must distinguish between cases of accidental and abusive head trauma. Limited information about the incident is available in such cases, and witness statements are not always reliable. In this study, we introduce a novel, data-driven approach to predict fall parameters that lead to skull fractures in infants in order to aid in determinations of abusive head trauma.

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Purpose: The delayed or missed diagnosis of secondary hypertension contributes to the poor blood pressure control worldwide. This study aimed to assess the diagnostic approach to primary aldosteronism (PA) and pheochromocytoma (PHEO) among Italian centers associated to European and Italian Societies of Hypertension.

Methods: Between July and December 2023, a 10-items questionnaire was administered to experts from 82 centers of 14 Italian regions and to cardiologists from the ARCA (Associazioni Regionali Cardiologi Ambulatoriali) Piemonte.

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Alopecia areata (AA) is an autoimmune condition marked by hair loss, linked to inflammatory processes involving the interleukin-1 receptor type 1 (IL-1R1) pathway. This study aims to explore the relationship between IL-1R1 gene expression, serum IL-1R1 levels, and hsa-miR-19b-3p in relation to AA severity. Using a case-control design, we assessed 100 AA patients and 100 healthy controls, measuring serum IL-1R1 through enzyme-linked immunosorbent assay (ELISA) and analyzing IL-1R1 gene and hsa-miR-19b-3p expression levels via quantitative real-time PCR (qRT-PCR).

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Circulating tumor DNA (ctDNA) levels can help predict outcomes in diffuse large B-cell lymphoma (DLBCL), but its integration with DLBCL molecular clusters remains unexplored. Using the LymphGen tool in 77 DLBCL with both ctDNA and tissue biopsy, a 95.8% concordance rate in molecular cluster assignment was observed, showing the reproducibility of molecular clustering on ctDNA.

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Theoretical work has suggested close associations between morphological awareness (MA) and reading skills in Chinese; however, the nature and direction of these time-ordered links are little known. This study examined the interplays of MA and reading skills using a continuous-time modeling approach to three waves of two-year longitudinal data from first- (N = 149; 69 girls) and third-grade (N = 142; 74 girls) Chinese children. Results showed that (a) increases in MA predicted subsequent increases in reading skills (i.

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