Global Cancer Incidence and ScreeningCervical Cancer and HPV ResearchGlobal Maternal and Child HealthMaternal and Perinatal Health InterventionsCancer survivorship and care
We prepare their research opportunity report and reach out personally to introduce you — their contact details stay private.
Their published papers and profiles list institutional contact details.
This profile was built automatically from public publication records and has not yet been claimed by the researcher.
Research opportunities
Study designs adjacent to this body of work — each grounded in the published record and scoped so a trainee could run it.
Claim your researcher profile
This profile was built from your public publication record — claim it to manage it.
How do specific maternal microbiota profiles (gut, oral, or vaginal) during gestation correlate with the development of gestational diabetes mellitus (GDM) and subsequent long-term metabolic health in offspring?
Why this gap exists: While recent reviews [8] confirm GDM alters maternal gut microbiota and neonatal health, and older studies [0] note dysbiosis across maternal sites, the retrieved evidence lacks direct, longitudinal studies correlating specific gestational maternal microbiota profiles with the *long-term* metabolic health of offspring, leaving the core question unresolved.
Microbes in the Moonlight: How the Gut Microbiota Influences Sleep — arXiv preprint, 2025
To what extent do changes in the maternal microbiota (gut, oral, or vaginal) during pregnancy mediate the relationship between maternal perinatal anxiety/depression and the neurodevelopmental outcomes of the offspring?
Why this gap exists: While recent studies confirm associations between maternal mental health and microbiota composition (Abstract 5, 8) and suggest the microbiome-gut-brain axis influences neurodevelopment (Abstract 0, 2), the retrieved evidence does not contain studies that directly test the mediating role of maternal microbiota changes between perinatal anxiety/depression and offspring neurodevelopmental outcomes.
How does the longitudinal trajectory of maternal stress and resilience during pregnancy specifically mediate the association between social determinants of health (e.g., socioeconomic status, structural inequality) and infant cognitive or emotional development outcomes?
Why this gap exists: While the retrieved literature confirms associations between socioeconomic disadvantage, maternal stress, and infant neurodevelopment, it does not resolve the specific question of how longitudinal trajectories of maternal stress and resilience mediate these associations, as the studies focus on broad correlations or static measures rather than dynamic mediation pathways.
Chronic stress may disrupt covariant fluctuations of vitamin D and cortisol plasma levels in pregnant sheep during the last trimester: a preliminary report — arXiv preprint, 2019
What is the comparative efficacy and cost-effectiveness of the one-step 75g OGTT versus the two-step (50g GCT followed by 100g OGTT) diagnostic approach in preventing adverse maternal and neonatal outcomes?
Why this gap exists: While Abstract [7] compares diagnostic criteria and Abstract [4] compares 75g and 100g OGTTs, the retrieved evidence lacks direct, comparative studies on the cost-effectiveness and relative efficacy of the one-step versus two-step *approaches* in preventing adverse outcomes, leaving the specific question unresolved.
What is the comparative efficacy of digital versus in-person delivery of mental health interventions for mitigating the increased risk of perinatal depression and anxiety in low-income and middle-income countries during future pandemic-like disruptions?
Why this gap exists: While abstracts [6] and [8] compare digital and in-person delivery during the pandemic, they are set in high-income contexts (Spain, unspecified high-income), and abstract [7] focuses on LMICs but lacks a comparative digital vs. in-person design, leaving the specific question of comparative efficacy in LMICs unresolved.
Detecting anxiety and depression in dialogues: a multi-label and explainable approach — de Arriba-Pérez, F., García-Méndez, S. (2024). Detecting anxiety and depression in dialogues: a multi-label and explainable approach. In Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (pp. 257-271), 2024
Detecting anxiety and depression in dialogues: a multi-label and explainable approach — de Arriba-Pérez, F., García-Méndez, S. (2024). Detecting anxiety and depression in dialogues: a multi-label and explainable approach. In Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (pp. 257-271), 2024
How do specific cultural beliefs regarding 'insufficient milk' in rural South African communities mediate the relationship between maternal dietary diversity and the introduction of prelacteal feeds?
Why this gap exists: While the retrieved papers discuss general breastfeeding barriers in South Africa [8] and cultural influences in other regions like Ethiopia [6] and Malaysia [9], none specifically address the mediation of 'insufficient milk' beliefs on the relationship between maternal dietary diversity and prelacteal feeds in rural South African communities.