Actividades asistenciales

Deep Shape Regression for Planar Curves with Multimodal Covariates

- The shape of a planar curve is the geometric information that remains once translation, rotation, scale and reparametrisation are removed and is of interest in many health applications, e.g. in...

How Does Urban Context Relate to Residential Building Health? A Vision-POI Fusion Framework for Building-Level Housing Inspection

- Housing-level urban physical examination is essential for identifying residential building problems and supporting targeted urban renewal. Existing automated inspection studies primarily rely on...

Clinical Pathways as Safety Specifications for Physical AI in Hospital Wards

- Ensuring safety in Physical AI systems operating in real-world environments is a critical challenge, particularly in hospital wards where vulnerable patients, clinical staff, medical devices, and...

Mammal: Supporting Breastfeeding Monitoring Through Computational Garments with Inter-Body Sensing

- Breastfeeding provides critical insight into infant feeding competence and physiological health, yet objective monitoring remains difficult due to the intimate and internal nature of feeding. We...

Associations Between Support-Seekers' Cross-Community Interactions and Their Engagement with Received Comments in Online Health Communities

- Support-seeker' active engagement with received comments, e.g., showing positive sentiment and willingness to improve in the replies, can indicate the success of online health communities (OHCs)....

Trustworthy Privacy-Preserving Multimodal Federated Learning for Personalised Breast Cancer Prediction

- Federated learning has emerged as a potential solution to privacy concerns associated with using sensitive health data for training predictive models, particularly in personalised cancer care. This...

SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training framework

- Federated learning (FL) offers a promising approach to privacy-preserving clinical risk prediction, but its deployment remains limited by restricted data sharing, client heterogeneity, class...

How Far Can Wearable-Compatible Signals Go? A Controlled Decomposition of Non-EEG Sleep Staging

- Consumer wearables increasingly infer sleep stages from signals including heart rate, accelerometry, and photoplethysmography. However, existing studies often report end-to-end performance under a...

CruiseBench: A Real-Flight-Aligned N-CMAPSS Benchmark for Engine RUL Prediction

- Remaining useful life (RUL) prediction estimates how long an engine can continue safe operation and is central to maintenance planning. N-CMAPSS extends C-MAPSS by simulating run-to-failure...

Air Quality Arena: A Large-Scale Multi-Region Ground Monitoring Dataset and Benchmark for Air Quality Forecasting with Time-Series Foundation Models

- Air pollution causes an estimated 7.9 million premature deaths annually, making accurate forecasting a critical public health priority. Machine learning is increasingly being applied to forecast air...

Predicting Groundwater Arsenic Concentrations Using Graph Neural Networks

- Arsenic contamination in groundwater presents a longstanding public health crisis in the United States, especially for households depending on private wells. Accurate and spatially informed...

Predictive single cell foundation model for gene regulation and aging with privacy-preserving tabular learning

- Pre-trained foundation models (FMs) have begun transforming single-cell genomics, but scaling them raises privacy concerns. Moreover, unlike text data, single-cell data is unordered and exhibits a...

A spatial interference approach to account for mobility in air pollution studies with multivariate continuous treatments

- We develop new methodology to improve our understanding of the causal effects of multivariate air pollution exposures on public health accounting for mobility. Typically, in environmental health...

Interrupted Time Series Analysis Of Count Data With Nuisance Interruptions

- Interrupted time series analysis has been used to model the effect of policy and other interventions on public health by forecasting a counterfactual time series during the intervention period using...

Sensory experience and mTORC1 interplay orchestrates the maturation of cortical interneuron connectivity and tactile sensitivity

23/07/2026 - Sensory abnormalities are core features of neurodevelopmental disorders, including autism. Although interneuron dysfunction is hypothesized to contribute to these deficits, the underlying mechanisms...

Area-level context and functional brain organization across the lifespan

23/07/2026 - The neighborhoods children grow up in are associated with cognitive and mental health outcomes across the lifespan. Yet how neighborhood-level factors are quantified, and how they relate to...

Sunshine can help with some serious health problems, argues a new book

22/07/2026 - While Europe’s heatwave makes us run for shade, the intriguing In Defense of Sunlight reveals sunlight’s health-giving effects – in moderation, says David Robson

More than a gut feeling

23/07/2026 - Long overlooked, the connection between our gut microbes and brain is yielding new insights into mental health

From Operations to Elderly Care Outcomes: A Thematic Review of Industrial Engineering and Decision-Support Approaches

- The rapid growth of the global aging population presents severe challenges to healthcare systems, necessitating efficient, equitable, and patient-centered care models. While Industrial Engineering...

Using binary silver labels in electronic health records-based computable phenotyping algorithms

- Gold-standard phenotype labels are often unavailable at scale in electronic health record (EHR) studies because they require manual chart review. Weakly supervised phenotyping methods instead use...

An unsupervised clustering analysis of breast cancer data derived from electronic health records enhanced through UMAP dimensionality reduction

- Breast cancer is one of the most widespread types of cancer, affecting approximately 8 million women worldwide. Electronic health records of patients diagnosed with this disease can serve as valuable...