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Enhancing Patient Comprehension of Glomerular Disease Treatments Using ChatGPT.

Healthcare (Basel)

December 2024

Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.

: It is often challenging for patients to understand treatment options, their mechanisms of action, and the potential side effects of each treatment option for glomerular disorders. This study explored the ability of ChatGPT to simplify these treatment options to enhance patient understanding. : GPT-4 was queried on sixty-seven glomerular disorders using two distinct queries for a general explanation and an explanation adjusted for an 8th grade level or lower.

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Background: Refluxate volume and pH drop following gastroesophageal reflux are mostly cleared by peristalsis. We evaluated the roles of primary volume clearing peristaltic wave (VCPW), secondary VCPW, post-reflux swallow-induced peristaltic wave (PSPW), and late primary peristaltic wave (LPPW) in refluxate clearance.

Methods: We retrospectively analyzed pH-impedance studies performed off therapy in 40 patients with typical esophageal symptoms.

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This paper is devoted to the investigation of the plasmonic effect of metal nanoparticles (NPs) formed on the surface of the YAG: Bi, Ce, Yb phosphors in a temperature range between 4 and 300 K. Combination of a thin conversion layer with silver plasmonic nanostructures leads to increase of sensitizer absorption and emission efficiency. Enhancement of Bi luminescence in YAG epitaxial films with Ag NPs was observed upon cooling the samples below 200 K.

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Unveiling the molecular mechanisms of recurrent miscarriage through endoplasmic reticulum stress related gene expression.

Sci Rep

January 2025

Department of TCM, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China.

Recurrent miscarriage (RM) is a reproductive disorder affecting couples worldwide. The underlying molecular mechanisms remain elusive, even though emerging evidence has implicated endoplasmic reticulum stress (ERS). We investigated RM- and ERS-related genes to develop a diagnostic model that can enhance predictive ability.

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