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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.

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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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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.

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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.

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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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