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Implementing home-based digital health in rural Canada: a scoping review
ObjectiveThis scoping review maps the current evidence on implementing home-based digital health technologies in rural Canada. It examines available readiness tools and indicators, stakeholder perspectives, barriers, and outcomes to provide evidence-based insights for successful implementation.MethodsA comprehensive search was conducted in Ovid MEDLINE, IEEE Xplore, and Scopus between February and March 2025. Eligible studies focused on […]
Johnson & Johnson launches ‘Generation Fine’ depression project
You’ve heard of Gen Z, but now Johnson & Johnson wants you to be aware of “Generation Fine” as it looks to boost understanding around depression treatment.
An interpretable, clinically grounded framework for digital speech biomarker development in neurodegenerative diseases
IntroductionCommunication ability—a key determinant of quality of life—is frequently affected and progressively declines in neurodegenerative diseases. Effective management of progressive communication disorders requires a personalized approach to deliver timely interventions tailored to the evolving profiles of communicative impairment, thereby supporting functional communication throughout the disease course. To this end, reliable tools capable of detecting and […]
Film-based cultural narrative intervention to enhance mental health literacy and resilience in indigenous adolescents: a mixed-methods co-design study
BackgroundIndigenous adolescents in low- and middle-income countries experience heightened mental health risks while having limited access to culturally appropriate interventions. Mental health literacy, stigma, and resilience are critical determinants of help-seeking and long-term well-being, yet culturally grounded interventions addressing these factors remain scarce.ObjectiveThis study aimed to co-design and evaluate a culturally sensitive, film-based intervention to […]
Pre-launch efforts linked to lasting drug awareness edge: report
Cancer treatments with high levels of physician awareness at launch maintain their advantage over drugs that are yet to gain widespread recognition when they come to market, a ZoomRx analysis found.
GSK tees up a Modern Family for meningitis messaging
GSK is teaming up with “Modern Family” stars Julie Bowen and Ty Burrell to help get out the messaging: “ask to be sure” about the risks of meningococcal disease.
Assessment of frontier Large Language Models in sleep medicine
Study objectivesTo evaluate and compare the performance of two proprietary frontier large language models (LLMs), ChatGPT-5 and Grok-4, on diagnostic reasoning and foundational knowledge tasks within the specialty domain of sleep medicine.MethodsThe models were evaluated on two tasks: case-based reasoning using 79 clinical vignettes from the AASM Case Book of Sleep Medicine and knowledge assessment […]
AI-Generated Images: What Humans and Machines See When They Look at the Same Image
arXiv:2605.06143v1 Announce Type: cross Abstract: The misuse of generative AI in online disinformation campaigns highlights the urgent need for transparent and explainable detection systems. In this work, we investigate how detectors for AI-generated images can be more effective in providing human-understandable explanations for their predictions. To this end, we develop a suite of detectors with […]
Band Together: Untargeted Adversarial Training with Multimodal Coordination against Evasion-based Promotion Attacks
arXiv:2605.06238v1 Announce Type: cross Abstract: Multimodal recommender systems exploit visual and textual signals to alleviate data sparsity, but this also makes them more vulnerable to evasion-based promotion attacks. Existing defenses are largely limited to single-modal settings and mainly focus on poisoning-based threats, leaving evasion-based threats underexplored. In this work, we first identify a cross-modal gradient […]
A Theoretical Analysis of Test-Driven Code Generation
arXiv:2602.06098v3 Announce Type: replace-cross Abstract: Code assistants are increasingly utilized in test-driven software development, yet the theoretical mechanisms behind their environment-interaction strategies remain underexplored. We provide a probabilistic framework for two dominant paradigms: code selection after generation using the execution environment, and code generation conditioned on environment feedback. First, we formalize several well-established selection heuristics […]
Quantizing With Randomized Hadamard Transforms: Efficient Heuristic Now Proven
arXiv:2605.06014v1 Announce Type: cross Abstract: Uniform random rotations (URRs) are a common preprocessing step in modern quantization approaches used for gradient compression, inference acceleration, KV-cache compression, model weight quantization, and approximate nearest-neighbor search in vector databases. In practice, URRs are often replaced by randomized Hadamard transforms (RHTs), which preserve orthogonality while admitting fast implementations. The […]