Pneumonia

Machine learning-based 4-domain framework for evaluating COVID-19 policy responses: a counterfactual analysis of 27 European OECD countries.

OBJECTIVES: European countries implemented highly diverse mitigation policies during the COVID-19 pandemic, ranging from strict nationwide lockdowns to more voluntary approaches. This study aims to understanding how timing, stringency, and comprehensiveness of policy responses influenced epidemic trajectories by applying machine learning-based counterfactual analysis. METHODS: Data from 27 Europea...

SHAP based feature selection for machine learning prediction of mycoplasma pneumoniae pneumonia with atelectasis in children.

Bridging immunization gaps in Sub-Saharan Africa: a narrative review of microplanning, geospatial, and machine learning approaches to reach zero-dose children and under-immunised children.

Immunization inequities persist across Sub-Saharan Africa, with significant numbers of zero-dose and under-immunised children contributing to preventa...

Dysbiosis of fecal virome in pediatric Crohn's disease and its dynamic changes during infliximab therapy.

UNLABELLED: The gut virome is an emerging but underexplored component of the human microbiota, especially in pediatric Crohn's disease (CD). This stud...

The adaptive large language models for vaccine prediction: A novel approach to vaccine demand prediction with engineered deviation prompts.

Accurate vaccine demand forecasting is crucial for minimizing wastage and ensuring efficient immunization programs. In this study, we introduce an Ada...

Modeling community hydrogen sulfide exposure in an urban industrial area during routine and extreme events.

Hydrogen sulfide (H2S) is a toxic, odorous gas linked to acute and chronic health effects. In urban-industrial areas like Southern California's South ...

Overcoming gastrointestinal mucosal barriers: Mechanistic innovations and technical advances in mucosal targeting strategies for animal oral vaccines.

Infectious diseases caused by pathogenic microorganisms (such as Escherichia coli, Avian influenza virus (AIV), Rotavirus, etc.) that primarily invade...

RoentMod: a synthetic chest X-ray modification model to identify and correct image interpretation model shortcuts.

Chest radiographs (CXRs) are among the most common tests in medicine; automated interpretation may reduce radiologists' workload and expand access. De...

Cross-Cultural Differences in Public Discourse on COVID-19 Vaccination in the United States and South Korea: Cross-Sectional Analysis Using Natural Language Processing.

BACKGROUND: The COVID-19 vaccine was introduced as a crucial tool to combat the pandemic. However, concerns about its effectiveness, side effects, and...

Community detection framework based on 3D shape descriptors for tree species classification in point cloud data.

Accurate tree species classification from remote sensing data, such as LiDAR point clouds, is important for various applications, including vegetation...

Exploring the impact of reimbursement ratios on willingness to vaccinate: A mixed-effects modeling approach using panel data.

Vaccination remains one of the most cost-effective methods for disease prevention. However, utilization of self-paid vaccines, including EV71, varicel...

CAGAD: dynamic community attention for prediction gene regulatory network.

One major issue with deep learning is that graph neural networks (GNNs) have a tendency to identify indirect and multi-level complicated associations ...

Digital Technologies That Support Meaningful Connections in Care Homes: Scoping Review.

BACKGROUND: Meaningful connections in which people feel valued, seen, and heard are essential for social health and well-being. However, individual, s...

Performance validation of an artificial intelligence-assisted chest radiograph algorithm for incidental pulmonary nodule detection in Malaysian healthcare facilities: a multicentre cross-sectional study protocol.

INTRODUCTION: Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and ...

Declining grassland canopy height in China under asymmetric biomass allocation.

Grassland canopy height is one of the most important traits for determining plant diversity and community structure, directly affecting the resource u...

JAX Animal Behavior System (JABS), a genetics-informed, end-to-end advanced behavioral phenotyping platform for the laboratory mouse.

Automated detection of complex animal behavior remains a challenge in neuroscience. Developments in computer vision have greatly advanced automated be...

Multimodal AI-based 28-day mortality prediction of pneumonia patients at ED discharge: a multicenter study.

Emerging Trends and Innovations in Radiologic Diagnosis of Thoracic Diseases.

Over the past decade, Investigative Radiology has published numerous studies that have fundamentally advanced the field of thoracic imaging. This revi...

Addressing multiple pregnancies in in vitro fertilization-embryo transfer: Current status, challenges, and solutions.

With the rising global incidence of infertility and the growing proportion of infants conceived via in vitro fertilization-embryo transfer (IVF-ET), m...

Predicting non-alcoholic fatty liver disease (NAFLD) using machine learning algorithms: Evidence from a large-scale community cohort in Taiwan.

Closely associated with metabolic disorders, non-alcoholic fatty liver disease (NAFLD) substantially increases the risk of hepatocellular carcinoma. T...