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ds-FCRN: three-dimensional dual-stream fully convolutional residual networks and transformer-based global-local feature learning for brain age prediction.
Brain Struct Funct
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Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, 100124, China.
The brain undergoes atrophy and cognitive decline with advancing age. The utilization of brain age prediction represents a pioneering methodology in the examination of brain aging. This study aims to develop a deep learning model with high predictive accuracy and interpretability for brain age prediction tasks.
View Article and Find Full Text PDFExploring the effect of hsa-miR-19b-3p on IL-1R1 expression and serum levels in alopecia areata.
Arch Dermatol Res
January 2025
Department of Dermatology, Venereology, and Sexology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
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).
View Article and Find Full Text PDFError compensation in a redundant system during 'failure' of individual motor elements.
Exp Brain Res
January 2025
Department of Kinesiology, Michigan State University, 308 W Circle Dr, East Lansing, USA.
A characteristic feature of redundancy in the motor system is the ability to compensate for the failure of individual motor elements without affecting task performance. In this study, we examined the pattern and variability in error compensation between motor elements during a virtual task. Participants performed a redundant cursor control task with finger movements.
View Article and Find Full Text PDFA blueprint for large language model-augmented telehealth for HIV mitigation in Indonesia: A scoping review of a novel therapeutic modality.
Health Informatics J
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Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC, Australia.
The HIV epidemic in Indonesia is one of the fastest growing in Southeast Asia and is characterised by a number of geographic and sociocultural challenges. Can large language models (LLMs) be integrated with telehealth (TH) to address cost and quality of care? A literature review was performed using the PRISMA-ScR (2018) guidelines between Jan 2017 and June 2024 using the PubMed, ArXiv and semantic scholar databases. Of the 694 records identified, 12 studies met the inclusion criteria.
View Article and Find Full Text PDF2D and 3D Classification Systems for Adolescent Idiopathic Scoliosis: Clinical Implications and Technological Advances.
Orthop Surg
January 2025
Spine Surgery Center, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Classification systems for Adolescent Idiopathic Scoliosis (AIS) play an important role in guiding both surgical planning and conservative treatments. Traditional 2D classification systems, such as the Lenke, King and Lehnert-Schroth classifications, have been widely used for the clinical diagnosis and treatment of scoliosis. However, with the growing understanding of the three-dimensional nature of scoliosis and advancements in 3D reconstruction technologies, 3D classification systems are gaining increasing attention.
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