BackgroundSemantic interoperability remains a significant barrier in healthcare, particularly when integrating patient-reported, clinical, and genomic data to enable personalized care. Existing models rarely focus on patient-centered, ontology-driven front-end architectures based on widely adopted standardized medical ontologies and terminologies. Within broader Personal Health Data Space (PHDS) initiatives, such integration increasingly depends on front-end frameworks that enable […]
AI-enabled cardiovascular devices: a lifecycle playbook for evidence, change control, and post-market assurance
AI-enabled cardiovascular devices are increasingly used in imaging, physiological signal analysis, and clinical decision support systems. Despite growing clinical adoption, requirements for evidence generation, software change management, and post-deployment assurance remain fragmented across jurisdictions and are often difficult to translate into operational processes within healthcare organizations. This review synthesizes common foundations of software as a […]
Chatbots as frontline educators in sexual reproductive health rights: evidence, limitations, and ethical considerations
Chatbots are increasingly used in digital health to expand access to information and support user engagement. In sexual and reproductive health and rights (SRHR), where stigma, privacy concerns, and health system constraints often limit timely access to accurate information, chatbots have been proposed as scalable tools for delivering education and facilitating service navigation. This perspective […]
Decoding perceived risks in online healthcare services: a safety–trust model based on grounded theory
IntroductionThe rapid rise of online healthcare services (OHSs) in China has improved access to medical information and services while creating new uncertainties related to quality, security, and trust. This study aims to deepen the understanding of perceived risk in OHSs and provide empirical guidance for digital health governance, patient safety strategies, and the development of […]
Top HHS official makes impassioned pitch to take on China biotech
Senior HHS official and head of Medicare Chris Klomp didn’t mince words when he called competition with China’s ascending biotech industry “a war.” Klomp’s comments, made Thursday at the annual Conservative Political Action Conference in …
Global Stability Analysis of the Age-Structured Chemostat With Substrate Dynamics
arXiv:2603.25276v1 Announce Type: cross Abstract: In this paper we study the stability properties of the equilibrium point for an age-structured chemostat model with renewal boundary condition and coupled substrate dynamics under constant dilution rate. This is a complex infinite-dimensional feedback system. It has two feedback loops, both nonlinear. A positive static loop due to reproduction […]
Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models
arXiv:2603.25495v1 Announce Type: cross Abstract: Accurate short-term air-quality forecasting is essential for public health protection and urban management, yet many recent forecasting frameworks rely on complex, data-intensive, and computationally demanding models. This study investigates whether lightweight and interpretable forecasting approaches can provide competitive performance for hourly PM2.5 prediction in Beijing, China. Using multi-year pollutant and […]
MindSet: Vision. A toolbox for testing DNNs on key psychological experiments
arXiv:2404.05290v2 Announce Type: replace-cross Abstract: Multiple benchmarks have been developed to assess the alignment between deep neural networks (DNNs) and human vision. In almost all cases these benchmarks are observational in the sense they are composed of behavioural and brain responses to naturalistic images that have not been manipulated to test hypotheses regarding how DNNs […]
SAVe: Self-Supervised Audio-visual Deepfake Detection Exploiting Visual Artifacts and Audio-visual Misalignment
arXiv:2603.25140v1 Announce Type: cross Abstract: Multimodal deepfakes can exhibit subtle visual artifacts and cross-modal inconsistencies, which remain challenging to detect, especially when detectors are trained primarily on curated synthetic forgeries. Such synthetic dependence can introduce dataset and generator bias, limiting scalability and robustness to unseen manipulations. We propose SAVe, a self-supervised audio-visual deepfake detection framework […]
Compiling molecular ultrastructure into neural dynamics
arXiv:2603.25713v1 Announce Type: new Abstract: High-resolution brain imaging can now capture not just synapse locations but their molecular composition, with the cost of such mapping falling exponentially. Yet such ultrastructural data has so far told us little about local neuronal physiology – specifically, the parameters (e.g., synaptic efficacies, local conductances) that govern neural dynamics. We […]
Grokking as a Falsifiable Finite-Size Transition
arXiv:2603.24746v1 Announce Type: cross Abstract: Grokking — the delayed onset of generalization after early memorization — is often described with phase-transition language, but that claim has lacked falsifiable finite-size inputs. Here we supply those inputs by treating the group order $p$ of $mathbbZ_p$ as an admissible extensive variable and a held-out spectral head-tail contrast as […]
DAGverse: Building Document-Grounded Semantic DAGs from Scientific Papers
arXiv:2603.25293v1 Announce Type: new Abstract: Directed Acyclic Graphs (DAGs) are widely used to represent structured knowledge in scientific and technical domains. However, datasets for real-world DAGs remain scarce because constructing them typically requires expert interpretation of domain documents. We study Doc2SemDAG construction: recovering a preferred semantic DAG from a document together with the cited evidence […]