Background Immune checkpoint inhibitors (ICIs) have improved outcomes across multiple cancer types, yet reliable predictors of survival remain limited. While genomic features such as tumor mutational burden (TMB) are widely used, their contribution to predictive modeling in heterogeneous real-world cohorts remains unclear. We evaluated the relative contributions of clinical and whole-genome sequencing (WGS) features in […]
The Signal Generating (SiGn) fMRI Phantom
Functional magnetic resonance imaging (fMRI) quality assurance has traditionally relied on static, geometrically regular phantoms that cannot generate the dynamic signal changes fMRI analysis pipelines are designed to detect. Here we present the Signal Generating (SiGn) anthropomorphic brain phantom, a 3D-printed cortical model derived from an individual participant’s structural MRI, filled with tissue-mimicking agar gels […]
Evolution and adaptations of the seminal proteome in an insect with traumatic insemination
The protein composition of sperm and seminal fluid are key to male fitness. However, we currently lack an understanding of the factors that shape seminal proteome composition. The common bedbug (Cimex lectularius) mates by traumatic insemination, subjecting the ejaculate to a unique selective environment as sperm traverse the female genital and paragenital system. We provide […]
Effects of artificial light colour, intensity, structure and contrast on moth flight behaviour
Nocturnal moths are severely affected by light pollution, most notoriously through fatal attraction to artificial lights, yet flight-to-light is not their only response. To investigate how artificial lights impact flight behaviour, we exposed over 1200 wild-caught moths of 62 species to LED lights with different characteristics, under varying background lighting conditions, and tracked over 500 […]
Patch-to-slide fusion deep learning model for histological diagnosis of early pregnancy loss including hydatidiform mole
npj Digital Medicine, Published online: 18 April 2026; doi:10.1038/s41746-026-02628-z Patch-to-slide fusion deep learning model for histological diagnosis of early pregnancy loss including hydatidiform mole
Predicting Musculoskeletal Adverse Events During Moderate- to High-Intensity Walking Training in Chronic Stroke
Background: Moderate- to high-intensity walking training (M-HIT) is an established intervention for improving walking capacity in chronic stroke. Musculoskeletal (MSK) adverse events commonly occur during M-HIT, yet tools to identify individuals at higher risk are limited. Baseline clinical characteristics may provide insight into susceptibility to training-related MSK adverse events during M-HIT. Thus, this study aimed […]
Imbalance-Aware Optimal Transport Learning for Cost-Effective Diabetic Retinopathy Screening
Abstract Background Diabetic Retinopathy (DR) is one of the leading cause of vision loss and blindness. AI models have been instrumental in providing an alternative solution to real-life medical treatment which are costly and sometimes not readily available in developing and underdeveloped nations. However, most of the existing AI models are developed with high-quality clinical […]
Normative Benchmarks for the Parent-report Nationwide Quality of Life Scale (P-NQLS)
Introduction: The Nationwide Quality of Life Scale (NQLS) is a brief, mental-health focused quality of life (QoL) scale with seven items that are non-overlapping with symptom scales. We developed a parent version (P-NQLS), obtained national norms, and calculated psychometric properties for the P-NQLS. Methods: Parents (N=2251) of children aged 6-18 years who were representative of […]
Characterizing Trainee Workload Using Paired Daily Surveys and EHR Use Data: A Mixed-Methods Pilot Study
Purpose: High clinical workload is associated with worse patient and hospital outcomes and is a well-established driver of clinician burnout. Trainees may be particularly exposed, shouldering both clinical and educational responsibilities. Evidence-based work design offers a data-driven approach to healthcare work but relies on robust workload measurements. Trainee workload remains poorly characterized, as commonly used […]
Estimating the mpox vaccine uptake among MSM and modelling the potential of future vaccination campaigns in the EU/EEA
In October 2025, mpox virus clade I infections have been detected among men who have sex with men (MSM) in the EU/EEA, suggesting local transmission in MSM sexual networks. Given the large outbreak of mpox among MSM in 2022 and the uncertain transmission parameters of clade I in the European context, clade I poses a […]
Oncogenic Ras-Src-cortactin signaling rewires actin-generated forces to drive basement membrane rupture and initiate breast cancer invasion
Oncogenic HRas activation plays a fundamental role in tumorigenesis, yet the cellular mechanisms by which HRas downstream signaling drives basement membrane (BM) disruption during early breast cancer invasion remain unclear. Using HRas-inducible breast spheroids, we demonstrate that HRas rewires cellular mechanotransduction of tumor-associated extracellular matrix stiffening to promote invasion. This process occurs independently of canonical […]
LagCI Enables Inference of Temporal Causal Relationships from Dense Multi-Omic Time Series
Inferring causal relationships from time-series data is critical for uncovering the dynamics of biological regulation. However, in multi-omics studies, this task is often hampered by sparse temporal sampling and the limitations of existing methods. To address this, we developed Lagged-Correlation Based Causal Inference (lagCI), a computational framework designed to identify time-lagged associations by combining comprehensive […]