1. Phenological shifts are a major ecological consequence of climate change, yet studies often focus on single life stages meaning that the potential for carryover effects between life stages remains poorly understood. Failing to account for these effects may lead to inaccurate estimates of phenological shifts, with consequences for predicted synchrony among interacting species. This […]
Evaluation of non-sputum-based diagnostics for pediatric tuberculosis: the Pediatric TB Diagnostic (PDTBDx) cohort protocol
Tuberculosis (TB) is a significant cause of morbidity and mortality in children and adolescents, causing 172,000 deaths in 2024 in children and adolescents worldwide. Diagnostic challenges are pronounced in pediatrics, in which collecting respiratory specimens is challenging and TB is often paucibacillary, leading to delayed diagnosis and increased mortality. We describe the protocol and methodology […]
Repeat Hospitalisation Following Admission for Mental Ill-health and Stress-Related Presentations in Children and Young People in England between 2014-2019: A Retrospective Cohort Study
Background Hospital admissions for mental health (MH) and stress related presentations (SRP; symptoms without a clear medical cause which may be psychosomatic in nature) among children and young people (CYP) have risen over time. Rehospitalisation contributes to service costs, may indicate gaps in community based care, and can also disrupt education and social development. Methods […]
Predicting Patient-Reported Appearance Satisfaction After Facial Skin Cancer Reconstruction: Development and Internal Validation of a Multivariable Prediction Model
Patient-reported outcomes have become standard in facial skin cancer surgery, yet clinicians currently lack validated tools to predict postoperative appearance satisfaction from preoperative patient characteristics. We developed and internally validated a prediction model for appearance satisfaction three months after facial skin cancer reconstruction. A prospective cohort study enrolled 287 patients at a tertiary referral center […]
Primary Care Obesity Management at the Threshold of the GLP-1 Era: A Survey-Based Change Readiness Assessment
Abstract Background Between 2021 and 2022, primary care obesity management was entering the early diffusion phase of newer anti obesity pharmacotherapy, as GLP1 based treatments began reshaping expectations. However, it was unclear whether primary care clinicians and practice environments were prepared to deliver comprehensive obesity care. (1,2) Methods In 2021 to 2022, we surveyed 276 […]
HHBayes: A Flexible Bayesian Framework for Simulating and Analyzing Household Transmission Dynamics
Household transmission studies are important for understanding infectious disease transmission and evaluating interventions; however, they are frequently constrained by methodological challenges, including in study design and sample size determination, and in estimating parameters of interest after collecting the data. Existing tools often lack flexibility in modeling age-specific susceptibility, infectivity patterns, and the impact of interventions […]
Automated Detection of Macro-Reentrant Atrial Tachycardia Circuits Using LAT-Derived Graph Networks
Background: Accurate identification of macro-reentrant atrial tachycardia (AT) circuits is critical for successful ablation but remains challenging with conventional mapping techniques. The aim of this study was to automatically detect macro-reentrant AT loops from high-density local activation time (LAT) maps. Methods: We developed an algorithm for automated detection of macro-reentrant AT circuits using LAT-derived directed […]
An AI-based mental health guardrail and dataset for identifying psychiatric crises in text-based conversations
npj Digital Medicine, Published online: 03 April 2026; doi:10.1038/s41746-026-02579-5 An AI-based mental health guardrail and dataset for identifying psychiatric crises in text-based conversations
Consistency of Serial CSF alpha-Synuclein Seed Amplification Assay Results in the Parkinson’s Progression Marker Initiative
Studies reporting alpha-synuclein seed amplification assay (aSyn-SAA) results are often cross-sectional. Here we investigated the intra-individual consistency of aSyn-SAA results over time from participants in the Parkinson’s Progression Marker Initiative (PPMI). A total of 1238 participants had >1 CSF aSyn-SAA result for analysis (Parkinson’s disease [PD]=633, prodromal =563, healthy control [HC]=42) which were collected over […]
Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining
npj Digital Medicine, Published online: 03 April 2026; doi:10.1038/s41746-026-02557-x Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining
User-preference alignment with uncertainty-aware interactive rectification for liver organ and tumor segmentation and analysis from CT images
npj Digital Medicine, Published online: 03 April 2026; doi:10.1038/s41746-026-02544-2 User-preference alignment with uncertainty-aware interactive rectification for liver organ and tumor segmentation and analysis from CT images
Sensor-based digital health technologies to capture endpoints in recent clinical trials: a scoping review
npj Digital Medicine, Published online: 03 April 2026; doi:10.1038/s41746-026-02512-w Sensor-based digital health technologies to capture endpoints in recent clinical trials: a scoping review