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Primary care is facing multiple crises, including an increase in health misinformation. Digital health messaging by primary care providers has been shown to reach a diverse patient population. With the uptake of Generative Artificial Intelligence (GenAI) usage in healthcare, there is an important opportunity to rapidly create messages that are tailored to different populations and conditions. However, thoroughly assessing artificial intelligence (AI)-generated content is essential, as GenAI raises concerns regarding its accuracy, understandability, actionability and bias perpetuation. We aim to investigate whether digital health messages created by GenAI are evaluated as non-inferior compared with those created by human experts.
The AI-CARE (AI to Create Accessible and Reliable patient Education materials) study is a double-blind, crossover, non-inferiority randomised controlled trial. Data collection began on 30 May 2025, and is expected to be completed at the end of May 2026. Over 12 months, 192 messages on 48 topics will be written: half by primary care and public health experts and half by a GenAI tool (OpenAI’s ChatGPT). Review Panels composed of 24 primary care providers and 24 patients will evaluate these messages using an Evaluation Grid developed to assess the messages’ quality of information, adaptation to the target audience, relevance and usefulness, and readiness to be shared with patients. Evaluations will be completed via online REDCap (Research Electronic Data Capture) surveys and the order in which the 192 messages appear will be randomised and will vary between individuals. Participants and analysts will be blinded to the generation source. The primary outcome will be the Clarity and Understandability score.
The Research Ethics Boards of the Hôpital Montfort (24-25-11-038) and the University of Ottawa (S-12-24-11153) formally approved this study in December 2024. Reported data will be grouped and anonymised for dissemination in peer-reviewed scientific journals and conferences.
by Clément Joël Lucien Chevret, José Francisco Echegaray, Alexander Walton, Maryam Lo, Olav Rueppell, Hélène Lemieux
Mitochondrial metabolism plays a critical role in determining lifespan across animal taxa. In our study, we used the Western honeybee (Apis mellifera) as a model, capitalizing on the stark lifespan difference between queens, which often live more than two years, and summer workers, which survive only about 30 days, despite sharing the same genetic background. We investigated mitochondrial function in head tissue, thoracic muscle, and abdominal fat tissue of queens and workers, comparing early (7 days) and late adult stages (28–30 days in workers; 2 years in queens). No significant differences in mitochondrial flux control ratio for the NADH- Succinate- and glycerophosphate (Gp) pathways were found in thoracic muscles across castes or age groups. In head and abdominal fat tissues, early-life queens showed reduced reliance on NADH-linked pathways for maximal respiratory flux compared to workers. The decrease in the NADH-pathway was compensated by an increase in the Gp-pathway contribution. Queens exhibited reduced phosphorylation-pathway control over OXPHOS compared to workers, both in head tissue during early life and in abdominal fat tissue later in life. These findings reveal caste- and tissue-specific patterns of mitochondrial regulation that may contribute to dramatic lifespan divergence observed in eusocial insects. They suggest that early-life metabolic flexibility could play an important role in shaping life history evolution in Apis mellifera.
Gestational diabetes is a common metabolic disorder in pregnancy which identifies a substantial increased risk of future diabetes. Despite this risk, many individuals are not screened for dysglycaemia in the postpartum period. Continuous glucose monitoring (CGM) is an evolving technology that provides details of an individual’s glucose levels throughout the day; however, it has not yet been evaluated as a screening tool for postpartum dysglycaemia. To address this gap, this prospective cohort study will examine the use of CGM in the early postpartum period to predict the risk of maternal dysglycaemia after delivery.
The Predicting Dysglycaemia in Individuals with Gestational Diabetes Immediately Postpartum using CGM (PREDISPOSE) study is a prospective cohort study designed to assess the ability of a CGM device (Freestyle Libre 2) worn in the postpartum period to detect persistent dysglycaemia in individuals with gestational diabetes. The study will recruit 240 individuals with gestational diabetes. Each participant will wear the CGM immediately postpartum and before attending routine postpartum diabetes screening, consisting of a 75-gram oral glucose tolerance test (OGTT) and related blood work (haemoglobin A1c (HbA1c), complete blood count and lipid profile). The primary outcome is the accuracy of the area under the curve for all glucose measurements from the first CGM wear to detect postpartum dysglycaemia. We will perform sensitivity and specificity analyses to determine optimal CGM cut-offs to diagnose diabetes or prediabetes. Secondary outcomes include the incidence of postpartum dysglycaemia (based on 75-gram OGTT and/or HbA1c), incidence of postpartum dyslipidaemia, patient acceptability of CGM testing, data variability from CGM and cardiometabolic health outcomes diagnosed in years one, two and five after delivery.
All participating sites have received ethics approval of the current protocol and have started recruitment of participants to the study. The ethics boards that approved this study are the Biomedical Research Ethics Board at the University of Manitoba, the Conjoint Health Research Ethics Board at the University of Calgary, the Mount Sinai Hospital Research Ethics Board at Mount Sinai Hospital and the Comité d'éthique de la Recherche at Université Laval. Study results will be disseminated through conference presentations and publication in a peer-reviewed journal, regardless of study findings.
NCT04972955. Registration date: 28 June 2021.
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