📄 medicine

Rebound Methotrexate Toxicity After Apparent Clearance in a Critically Ill Patient with Severe Fluid Overload

This case report describes a critically ill patient with severe fluid overload who experienced life-threatening rebound methotrexate toxicity five weeks after apparent clearance, illustrating how altered pharmacokinetics and drug sequestration in dynamic volume-overload states can render standard clearance thresholds unreliable.

April Slamowitz, Liron Fedida, Rachel Kessel, Reid LaPlante, Adam Beaton2026-06-24
📄 medicine

“We Didn’t Know What It Was”: A Qualitative Comparative Analysis of Perceptions, Barriers, and Enablers of NHS Health Check Uptake Among Black Caribbean and Black African Communities in Birmingham, England

This qualitative study reveals that low NHS Health Check uptake among Black Caribbean, Ghanaian, and Nigerian communities in Birmingham stems from distinct, community-specific structural and cultural barriers—including unfamiliarity, racialized gatekeeping, and culturally irrelevant protocols—necessitating disaggregated, co-designed interventions rather than a homogenized "pan-Black" approach.

Basiru Gai, Ferozkhan Jadhakhan, Alisia Lashley, Paula Smith, Muhammad Hossain2026-06-24
📄 medicine

Alirocumab Plus Cemiplimab in Immunorefractory NSCLC: A Single Arm Phase 2 Study.

This phase II study demonstrates that combining the PCSK9 inhibitor alirocumab with cemiplimab yields clinical activity in immunorefractory NSCLC patients, with significantly improved response rates specifically observed in those harboring PIK3CA, PTEN, or AKT1 alterations.

Eziafa Oduah, Jhanelle Gray, Thomas Stinchcombe, Steven Wolf, Xiaodi Qin, Abbie Ireland, Joel Rivera-Concepcion, Jeffrey (…)2026-06-24
📄 medicine

Beyond AUC: The Clinical Impact of Threshold Optimization in COVID-19 Mortality Prediction

This study demonstrates that optimizing probability thresholds significantly enhances the clinical utility of COVID-19 mortality prediction models by improving specificity and balanced accuracy, while showing that interpretable logistic regression performs comparably to more complex machine learning algorithms.

Windy Mariane Virenia WARIKI, Janno Berty Bradly BERNADUS, Sumenge Tangkawarouw Godion KAUNANG, Viky Adrian DAMAY, Imanu (…)2026-06-24
📄 medicine

Early Prediction of Acute Pancreatitis-Induced Acute Lung Injury Using a Multimodal Deep Learning-Radiomics-Clinical Model

This study developed and validated a multimodal deep learning-radiomics-clinical model using dual-phase contrast-enhanced CT scans and clinical data to accurately predict acute lung injury in patients with acute pancreatitis, demonstrating superior performance over unimodal approaches across training, internal, and external test sets.

Shujun Chen, Yuan Xiong, Xueliang Song, Ping Deng, Hong Deng, Lu Liu, Man Li, Xiaoming Zhang, Xinghui Li2026-06-24
📄 medicine

Projected epidemiologic and economic impact of the 7-1-7 outbreak response framework in Uganda: a stochastic modelling study of Bundibugyo Ebola virus

A stochastic modeling study demonstrates that implementing the rapid 7-1-7 outbreak response framework in Uganda during a Bundibugyo Ebola virus cross-border outbreak would be strictly dominant, significantly reducing both cases and deaths while saving costs compared to a delayed response scenario.

Abel W. Walekhwa, Sheetal Prakash Silal, Paul Mbaka, Mudarshiru Bbuye, Lydia Nakiire, Mohammed Lamorde, Benon Kwesiga, W (…)2026-06-24
📄 medicine

Sex differences in a mouse model of radiation-induced cardiotoxicity

This study demonstrates that male BALB/cJ mice develop severe radiation-induced heart failure with reduced ejection fraction, inflammation, and fibrosis, whereas females exhibit a milder phenotype characterized by preserved ejection fraction and enhanced mitochondrial repair, highlighting significant sex differences in the pathogenesis of radiation-induced cardiotoxicity.

Emily R. Whelan, Evan E. Perona, Jessica J. Fliess, S. Christian Kocsis, Gabriel J. Weigel, Elizabeth J. McCabe, Charwan (…)2026-06-24
📄 medicine

Bayesian Machine Learning for Precision Oncology: Integrating Clinical, Genomic, and Imaging Data for Personalized Cancer Prognosis

This study introduces the Hierarchical Bayesian Multimodal Attention Fusion Network (HBMAF-Net), a novel framework that effectively integrates clinical, genomic, and imaging data to deliver accurate, interpretable, and uncertainty-aware personalized cancer prognosis, outperforming conventional and state-of-the-art models in predictive performance and calibration.

Romuald Daniel BOY-NGBOGBELE, Aboubakar Alfa Samuel2026-06-24
📄 medicine

The near-universal socio-economic and psychological burden of onchocerciasis in endemic communities of Bo District, Sierra Leone: an explanatory sequential mixed-methods study

This explanatory sequential mixed-methods study reveals that onchocerciasis in Bo District, Sierra Leone, imposes a near-universal, multidimensional socio-economic and psychological burden that is uniformly distributed across the community rather than concentrated in specific demographic groups, necessitating population-wide rather than targeted intervention strategies.

Augustine Bob Moseray, Alhaji Brima Gogra, Rashid Ansumana2026-06-24
📄 medicine

Chikungunya during Pregnancy and Childhood Obesity: A Nationwide Population-based Longitudinal Study using Linked Registry Data in Brazil

This nationwide longitudinal study in Brazil found that in-utero exposure to Chikungunya is associated with persistently higher weight-for-length and BMI z-scores, significantly increasing the risk of obesity in children during their first five years of life.

Mio Kushibuchi, Orlagh Carroll, Thiago Cerqueira-Silva, Helena Benes-Matos-da-Silva, Carolina Santiago-Vieira, Juliana F (…)2026-06-24