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AI-assisted data analysis can help risk analysts better understand exposure-response relationships by making it relatively easy to apply advanced statistical and machine learning methods, check their assumptions, and interpret their results. This paper demonstrates the potential of large language models (LLMs), such as ChatGPT, to facilitate statistical analyses, including survival data analyses, for health risk assessments. Through AI-guided analyses using relatively recent and advanced methods such as Individual Conditional Expectation (ICE) plots using Random Survival Forests and Heterogeneous Treatment Effects (HTEs) estimated using Causal Survival Forests, population-level exposure-response functions can be disaggregated into individual-level exposure-response functions.

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A Clinical Suspicion That Led to the Diagnosis of May-Thurner Syndrome.

Cureus

December 2024

Family Medicine, USF Progresso e Saúde - Tocha, Cantanhede, PRT.

May-Thurner syndrome is an anatomical anomaly characterized by venous compression of the iliac vein by the arterial system. It is more common in women. It may be asymptomatic or lead to symptoms related to hypertension/venous occlusion, namely, edema of the lower limb.

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Knowledge, Attitude, Awareness, and Practice Regarding Mites Among the Thai Population.

Patient Prefer Adherence

January 2025

Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Background: mites are common ectoparasites in humans and can cause various skin disorders known as demodicosis, ranging from nonspecific facial dermatitis to conditions resembling eczema, seborrheic dermatitis, folliculitis, and acne. Overgrowth of these mites can lead to pityriasis folliculorum, perioral dermatitis, blepharitis, and rosacea, significantly impacting skin health. This study aims to investigate the knowledge, attitude, awareness, and practice regarding mites in the Thai population and analyze the influencing factors associated with these aspects.

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Introduction: Limited data exist regarding treatment patterns and symptom burden of patients with anemia of chronic kidney disease (CKD) in the Middle East, South Africa, and Türkiye.

Methods: This real-world study explored clinical characteristics, symptom burden, and treatment patterns of patients with anemia of CKD living in the Middle East, South Africa, and Türkiye. Physician and patient perceptions of treatment were captured via cross-sectional surveys; patients' clinical characteristics were recorded by retrospective review of medical records.

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Introduction: Osteoarthritis (OA) presents significant challenges, imposing limitations on patients' daily activities. Factors such as restricted mobility, sedentary lifestyles, social isolation, and weight gain can exacerbate the difficulties faced by these individuals. Our study aimed to identify the needs and personal challenges faced by individuals with OA, and the impact of the COVID-19 pandemic.

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