Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review.

Background: In recent years, the intersection of natural language processing (NLP) and public health has opened innovative pathways for investigating social determinants of health (SDOH) in textual datasets. Despite the promise of NLP in the SDOH domain, the literature is dispersed across various disciplines, and there is a need to consolidate existing knowledge, identify knowledge gaps in the literature, and inform future research directions in this emerging field.

Objective: This research protocol describes a systematic review to identify and highlight NLP techniques, including large language models, used for SDOH-related studies.

Transcriptional responses to prolonged oxidative stress require cholinergic activation of G-protein-coupled receptor signaling.

Organisms have evolved protective strategies that are geared toward limiting cellular damage and enhancing organismal survival in the face of environmental stresses, but how these protective mechanisms are coordinated remains unclear. Here, we define a requirement for neural activity in mobilizing the antioxidant defenses of the nematode both during prolonged oxidative stress and prior to its onset. We show that acetylcholine-deficient mutants are particularly vulnerable to prolonged oxidative stress.

Review protocol for a systematic review and meta-analysis on HIV inequities in transgender and non-binary populations.

Introduction: Global disparities in HIV prevalence among transgender women are well documented. However, current epidemiological literature on HIV disparities demonstrates gaps in research that include the diversity within transgender populations-for example, transgender men and non-binary trans people across global regions. This systematic review and meta-analysis protocol aims to summarise global HIV inequities among all transgender and non-binary (trans) populations.