Browse Articles

Maldonado, Lopez-Hernandez, et al. use a matched case-control study to compare E. coli-infected patients with or without sepsis. Their analysis shows that the ST69 clone is associated with risk of sepsis development, and certain genetic factors such as adhesion genes papC and fdeC were associated with a protective effect.

Liu, Chen, Yang et al. investigate the effect of GLP-1 receptor activation on ovarian cancer risk across different subtypes. They show that it specifically lowers the risk of one subtype, endometrioid ovarian cancer, mediated in part by specific metabolic factors.

Li et al. apply machine learning to longitudinal clinical notes to improve prediction of Alzheimer’s disease. They find that Alzheimer’s-related keywords occur more often in patients who later develop the disease, rising sharply before diagnosis and helping identify high-risk individuals.

Assaad, Hadi and Levine et al. develop a whole-genome sequencing classifier to improve the detection of homologous recombination deficiency (HRD) across a pan cancer cohort. The classifier detects HRD beyond BRCA1/2 mutations, reveals HRD-related genomic events, and correlates with treatment response in a subset of patients.

Zeng et al. investigate the role of adult lifestyle on the associations between childhood body size and subsequent risks of mortality and non-communicable diseases. Their findings suggest that adherence to a healthier lifestyle in adulthood may attenuate these risks, especially among those with larger childhood body size.

Sheng et al. characterize features associated with neuroinflammation-related genes and cognitive resilience using a neuroimaging biomarker. The pathological effect of the MST1 gene on cognitive resilience is mediated by the mismatch between metabolic fluctuation coupling in the limbic orbital frontal cortex and amyloid protein deposition.

Vincens et al. investigate how traffic noise and masking pink noise impact physiological sleep, cognition, and metabolic blood biomarkers. Traffic noise acutely fragments sleep even while total sleep time is preserved, and is followed by metabolic disturbances, the effects of which are attenuated by continuous pink noise.

Haspels et al. developed a high-throughput assay facilitated by automatic spheroid segmentation using deep learning. Measured differences in treatment response between cisplatin-sensitive and resistant tumors faithfully correspond with expected in vivo responses and the assay is able to discriminate between olaparib-sensitive and resistant tumors.

Vishnyakova et al. develop a metabolomic aging biomarker based on optimal metabolite levels, or “sweet spots.” They show that this biomarker predicts mortality and the onset of age-related diseases.

Eriksson, Aranda-Guillén et al., conduct a comprehensive analysis of autoantibodies in paraneoplastic pemphigus and identify that autoantibodies against SERPINB3 are associated with the life-threatening lung condition bronchiolitis obliterans. These discoveries provide new diagnostic biomarkers that could also allow for earlier detection of the underlying cancer.

Huber et al. measure 4,780 plasma proteins in the Cardiovascular Health Study to examine the association with incident coronary heart disease. They identify 11 proteins using genomic analyses and show the complexity of MMP12 in response to atherosclerosis and development of heart disease.

Sridhar et al. examine how electroacupuncture modulates brain activity and connectivity in fibromyalgia using pre- and post-treatment fMRI. They show that electroacupuncture engages somatosensory–insula circuits to link nociceptive-initiated pain with reduced nociplastic widespread pain.

Takeuchi et al. conduct a randomized controlled trial to assess the impact of oral exercise frequency on frailty in older adults. They find that performing oral exercises three times daily, three days per week significantly improves frailty status, offering a practical approach for prevention.

Yao, You, Shen et al. evaluate the association between accelerated biological ageing and risk of incident abdominal aortic aneurysm (AAA) in the UK Biobank. They find that accelerated biological ageing significantly elevates AAA risk, with the highest risk observed in individuals with underlying genetic predisposition.

Ayoub et al. describe a structured clinical framework that guides large language models through stepwise diagnostic reasoning, mimicking real-world clinical workflows. This approach improves diagnostic accuracy, generates human-like explanations, and generalizes across models, datasets, and real-world hospital data.

Shankar et al. discuss the malaria parasite Plasmodium malariae. They focus on the unique and increasing challenges to diagnosis, treatment, and eradication posed by the parasite.

Bradshaw et al. analyze nationally representative data from 22 countries to examine how mental health varies across countries around the world and among demographic groups in diverse nations and cultures. There is considerable variation in symptoms of depression and anxiety across countries, and key demographic differences also exist.

de la Rosa et al. use data from 22 countries to analyse weekly alcohol use across multiple demographic groups. Findings show variations across demographic groups and countries, with alcohol use being higher for men, certain ages, individuals with higher education, those with employment, and individuals who are divorced, separated, or cohabiting.

Jing, Su et al. analyze global trends in congenital heart disease and non-congenital cardiovascular diseases (NC-CVD) among individuals under 20 years from 1992-2021 using GBD 2021 data. They find declining mortality but rising NC-CVD incidence and prevalence, with persistent disparities across socio-demographic index levels.

Elgendi and Markov et al. systematically review 26 studies on wearable devices that use physiological signals such as heart activity, breathing, skin responses, and blood flow to detect anxiety. They find that combining multiple signals improves accuracy over single-signal methods, highlighting the potential of wearables for anxiety detection.