Browse Articles

Moore et al. examine whether taking certain anti-seizure medications (ASMs) during pregnancy affects the health of the baby or the pregnancy. Findings reveal that taking ASMs—especially valproate, pregabalin and gabapentin—is linked to higher rates of pregnancy loss and developmental concerns in children.

Horner et al. derive a metabolomic signature of maternal pre-pregnancy BMI using longitudinal blood profiling from two pregnancy cohorts to investigate its link with pregnancy complications. They identify BMI-related metabolic pathways that mediate obesity-related risk, improving prediction of gestational diabetes and preeclampsia beyond BMI alone.

Makama et al. comprehensively review the prevalence, health impact, treatment, and barriers to accessing treatment for contraceptive-induced menstrual changes in low- and middle-income countries. They highlight the importance of contraceptive counselling and need for investment in innovative therapeutics and novel approaches to contraception.

Cudejko et al. explore the neuromechanical mechanisms by which footwear influences walking stability in fall-prone older adults. Findings reveal that minimalist footwear induces joint and muscle biomechanical changes that explain adaptations in dynamic balance control, reflecting a shift towards a more neuromechanically engaged walking pattern.

Yildirim et al. compare the accuracy and consistency of medical experts and Large Language Models in interpreting the details of brain metastases treatment guidelines. Large Language Models demonstrate superior accuracy and better convergence than human readers, highlighting their potential to assist in interpreting standardized guidelines.

Sanchez-Delgado, Frank et al. develop a method for single molecule, single nucleotide profiling of small RNA biomarker methylation status. They apply this method to lung cancer liquid biopsy samples to identify a differential pattern of methylation of a ribosomal RNA fragment with diagnostic potential.

Wolf et al. examine the impact of maternal risk factors on gestational duration mediated by changes in cervical length during pregnancy. Their study finds that previous preterm birth, pre-pregnancy BMI, parity, and previous abortion have unique influences on preterm birth risk through linear changes in the cervix.

Márquez et al. examine associations between blood-based biomarkers of neurodegenerative processes and cognitive performance in over 5,700 Hispanic/Latino adults in the United States. They find that higher levels of phosphorylated tau and neurofilament light are linked to poorer cognitive performance.

Andrade, Adelino, Fonseca et al. used phylogenetic, phylogeographic, and temporal approaches to track yellow fever viral transmission across forestry, rural, and urban areas of Brazil. All genomes belong to the South American lineage, with one Amazon cluster showing hidden persistence and another in the southeast indicating reintroduction and sustained transmission.

Wylezinski et al. develop machine learning models using insurance claims to predict which patients with multiple sclerosis would be at risk for high healthcare spending. The models identify rising-risk patients more accurately than historical spending patterns, enabling earlier intervention and resource planning.

Sarri et al. propose approaches to close the global women’s health gap that use a holistic, intersectional action plan that extends beyond the healthcare sector. They call for more leadership by women, empowerment of girls and women for equal opportunities, public support for advocacy, and investment in research.

Hernández et al. examine the link between heart rate and blood pressure response to active standing and future cardiovascular disease (CVD). Findings reveal distinct haemodynamic patterns linked to higher mortality and CVD risk, highlighting its potential as a marker for cardiovascular health.

Ho et al. investigate the impact of choice of sequencing platform on identification of specific variants for breast cancer risk stratification. Platform-specific variability is found to influence PRS313 estimates, potentially reclassifying individuals around clinically relevant thresholds.

Lima et al. evaluate predictive models that detect cognitive impairment and predict disease severity from spoken language features. Their approach identifies linguistic indicators of cognitive decline and enables clinically actionable triage with risk stratification, offering a pathway for scalable in-home monitoring.

Ulugut et al. examined the right anterior temporal variant of frontotemporal dementia by integrating a systematic review and expert consensus across 52 centers worldwide. The study defines the core domains of impairment and establishes unified phenotypic nomenclature to improve diagnostic precision and management.

Oguta et al. examine wealth-based inequalities for ideal cardiovascular health (iCVH) in Kenya using data from the 2015 WHO STEPs survey. They find a pro-rich inequality with a higher prevalence of iCVH in people with wealth, that is more pronounced in women, underscoring the need for equitable cardiovascular disease prevention policies.

Di Domenico et al. develop a method to reconstruct contact matrices fully stratified by age, education level and socioeconomic position. Results show that accounting for contact assortativity with socioeconomic factors has limited effect on the basic reproduction number, but substantially influences the effectiveness of control strategies.

Jiang et al. estimate productivity-adjusted life years for Chinese adults aged 50-64 using a microsimulation model and identify major health conditions contributing to productivity loss. Dyslipidemia and hypertension are the leading contributors to productivity loss, with substantial variations observed across sociodemographic subgroups.

Wang et al at introduce a dynamic, network-based tool to predict the risk of hepatic encephalopathy in patients with cirrhosis. The model integrates expert knowledge with data-driven insights to enable early prediction and risk stratification across diverse patient populations.