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Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.

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Immune checkpoint inhibitors (ICI) represent new anticancer agents and have been used worldwide. However, ICI can potentially induce life-threatening severe cutaneous adverse reaction (SCAR), such as Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN), hindering continuous ICI therapy. We examine 6 cohorts including 25 ICI-induced SJS/TEN patients and conduct single-cell RNA sequencing (scRNA-seq) analysis, which shows overexpression of macrophage-derived CXCL10 that recruits CXCR3 cytotoxic T lymphocytes (CTL) in blister cells from ICI-SJS/TEN skin lesions.

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Background: In July 2023, the OPTN adopted MELD3.0 to address sex-based disparities in liver transplantation (LT) opportunity and waitlist mortality. No studies have proven that MELD3.

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Purpose: To investigate the relationship between the distribution and severity of hypertonicity and spasticity on walking speed in people with neurological injuries.

Material/methods: This cross-sectional observation cohort study used the Modified Ashworth Scale (MAS) and Modified Tardieu Scale (MTS) to assess hypertonicity and spasticity of the gastrocnemius, soleus, hamstrings and quadriceps. Participants were classified as having a distal (gastrocnemius and/or soleus), proximal (hamstrings and/or quadriceps) or mixed distribution of hypertonicity or spasticity.

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Background: Recent studies suggest that increased digital technology usage could be a factor in the rising occurrence and severity of headache episodes. The purpose of this cross-sectional study was to determine whether the severity of primary headaches (migraine and tension-type headache) is associated with problematic internet use taking many covariates into account.

Methods: We conducted an online cross-sectional survey using a quantitative, descriptive questionnaire, targeting university students enrolled in correspondence courses, aged 18 to 65.

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