Leveraging large language models to improve patient education on dry eye disease.

Background/objectives: Dry eye disease (DED) is an exceedingly common diagnosis in patients, yet recent analyses have demonstrated patient education materials (PEMs) on DED to be of low quality and readability. Our study evaluated the utility and performance of three large language models (LLMs) in enhancing and generating new patient education materials (PEMs) on dry eye disease (DED).

Subjects/methods: We evaluated PEMs generated by ChatGPT-3.

Sustained antiviral insulin signaling during West Nile virus infection results in viral mutations.

Arthropod-borne viruses or arboviruses, including West Nile virus (WNV), dengue virus (DENV), and Zika virus (ZIKV) pose significant threats to public health. It is imperative to develop novel methods to control these mosquito-borne viral infections. We previously showed that insulin/insulin-like growth factor-1 signaling (IIS)-dependent activation of ERK and JAK-STAT signaling has significant antiviral activity in insects and human cells.

Influence of Common Medications on Diabetic Macular Edema in Type 2 Diabetes Mellitus.

Purpose: This study aimed to assess the impact of systemic medications, including GLP-1 receptor agonists (GLP-1 RAs), fenofibrates, thiazolidinediones (TZDs), and calcium channel blockers (CCBs), on the risk of developing diabetic macular edema (DME) in patients with type 2 diabetes mellitus (T2DM).

Design: A retrospective cohort study was conducted using electronic medical records (EMR) data from the TriNetX health research network, covering a period from October 2004-2024.

Participants: The study population comprised patients diagnosed with T2DM who were newly initiated on GLP-1 RAs, fenofibrates, TZDs, or CCBs.

Microbiological dimensions and functions in constructed wetlands: A review.

Constructed wetlands (CWs) have emerged as robust alternatives to traditional wastewater treatment technologies. The efficacy of CWs centers on the intricate interplay of factors, including plant species, substrate attributes, soil conditions, microbial consortia, and operational variables. Microorganisms, the cornerstone of CWs, have a significant influence on mineralization and pollutant mitigation processes.