Objectives: To identify independent risk and protective factors for acupuncture response in community-dwelling patients with chronic low back pain, and to develop and validate a clinical prediction mo...
Purpose To develop and verify a physiologically based pharmacokinetic (PBPK) modeling strategy for mithramycin (MTM) and its analog, MTMSA-Trp, with the aim of projecting first-in-human plasma pharmac...
With Black women facing disproportionately worse health outcomes during and after pregnancy, innovations in digital mental health provide an avenue to support the mental wellbeing of this population. ...
Background Kidney biopsy is an essential procedure for diagnosing kidney diseases. However, bleeding remains a major complication. This study aimed to evaluate predictive factors, including platelet a...
Background Our study aimed to explore the correlations between Auditory Brainstem Response outcomes and Autism phenotypes.Methods A total of 1883 children with or suspected of being with ASD were enro...
Objective To analyze the current status and influencing factors of social isolation in patients with colorectal cancer after stoma surgery, and to construct a risk prediction model for social isolatio...
Neuroscience and artificial intelligence, the convergence of neuroscience and artificial intelligence has presented revolutionary sports performance optimization. This paper is a comprehensive Neuro. ...
Objective To investigates the role of serum interleukin-6 (IL-6) and tumor necrosis factor-α(TNF-α) levels as prognostic biomarkers in patients receiving First-Line Platinum-Based Chemotherapy Combine...
Tenderness is the most important factor affecting consumer satisfaction with beef. As demand for high-quality beef continues to grow, tenderness standards are receiving increased attention. Warner-Bra...
The strength prediction of adhesive-bonded single lap joints (SLJs) is essential for reliable joint design. However, due to the non-linear interactions between geometrical parameters and material prop...
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