Pneumonia

Decadal restructuring of driving forces for macroinvertebrate communities in China's Greater Bay Area.

As a vital ecological buffer zone and biodiversity hotspot, the structure and composition of macroinvertebrate communities in estuarine wetlands are undergoing continuous changes due to threats from human disturbances. However, understanding of their temporal dynamics and the driving mechanisms of environmental spatial factors remains limited. In this study, we conducted field sampling in 2013 and...

A data-driven modeling framework for mapping genotypes to synthetic microbial community functions.

Synthetic microbial communities offer valuable insights into the mechanisms that govern community functions, and they can be designed to achieve desired functions in order to address societal challenges in precision medicine and agriculture. Existing computational models for predicting synthetic community functions use species abundances as inputs; this makes it impossible to predict the effects o...

Findings from the 2025 AMCP Foundation Symposium: Health Optimization 2.0.

The 2025 AMCP Foundation Symposium: Health Optimization 2.0 convened a select group of just over 70 managed care stakeholders in Dallas, Texas, on Dec...

Motivational and psychological variables related to unethical uses of artificial intelligence across multiple life domains (academics and online interactions).

Past studies about unethical uses of generative artificial intelligence (AI) have focused within a specific life domain (e.g., how AI is used for chea...

MeLSI: Metric Learning for Statistical Inference in microbiome community composition analysis.

Microbiome beta diversity analysis relies on distance-based methods, including permutational multivariate analysis of variance (PERMANOVA) combined wi...

Operationalizing Digital Health Equity in Artificial Intelligence-Enabled Patient Decision Aids for Older Adults: Mixed Methods Study.

BACKGROUND: Artificial intelligence-enabled patient decision aids (AI-PDAs) hold promise for supporting older adults with chronic diseases in accessin...

A computational method to design broad-spectrum T cell-inducing vaccines applied to Betacoronaviruses.

Antigenically diverse pathogens such as coronaviruses pose substantial global health threats, highlighting the need for broad-spectrum vaccines. Here,...

Interstitial lung disease pattern recognition on full high resolution computed tomography volume: Development and evaluation of a decision-support tool for less-experimented radiologists.

PURPOSE: The purpose of this study was to develop an artificial intelligence (AI) tool to assist recognition of three major interstitial lung disease ...

CIST: A clade-informed sequence transformer framework for predicting influenza virus antigenicity.

Rapid antigenic evolution of influenza viruses complicates timely vaccine strain selection and renders prospective interpretation of serological assay...

Remote Assessment of Parkinson Disease Using Deep Learning on Structured Mouse-Trace Data From Suspected Cases: Machine-Learning Pilot Feasibility Study.

BACKGROUND: Parkinson disease (PD) is a pervasive neurodegenerative disorder globally, largely characterized by motor symptoms. Most existing artifici...

Microeukaryotes are more vulnerable than picoeukaryotes to reservoir salinization: Evidence from multi-year high-frequency monitoring.

In freshwater ecosystems, rising salinity driven by factors such as climate change and urbanization can severely threaten ecosystem services. Eukaryot...

Neural networks and behavioral frameworks to analyse the impact of media and individual awareness for controlling epidemics.

Enhancing individual awareness and immunization are generally recognized as fundamental strategies for controlling infectious diseases. Awareness is i...

Diagnosing lung disorder and optimal classification using dense convolution (Dc)-CapsNet technique.

Lung carcinoma is regarded as lung cancer and is the usual form of cancers worldwide. It cannot be diagnosed easily until it spreads and is regarded a...

Associations of indoor bacterial, metabolomic, and other chemical exposures with allergic rhinitis in school-aged children.

BACKGROUND: The indoor environment has been implicated as a critical factor in the development of allergic diseases. However, the interplay among indo...

[Research on electrical impedance tomography for pediatric pneumonia based on an improved radial basis function neural network].

In the diagnosis of pediatric pneumonia, the weak conductivity contrast of lung tissues leads to limited image resolution in electrical impedance tomo...

Development of a prediction model for infant hospitalisation and death using clinical features assessed by community health workers during routine postnatal home visits in Dhaka, Bangladesh.

BACKGROUND: To improve upon the WHO 8 danger signs used to identify young infants (<2 months) requiring referral during community health worker (CHW) ...

Investigating the feasibility and acceptability of the TeleRehabilitation of balance clinical and economic Decision Support System (TeleRehaB DSS) in adults at risk of falls: study protocol for a multicentre clinical trial.

INTRODUCTION: Falls are a significant concern for older adults, particularly those with neurological, vestibular, cognitive and post-viral conditions,...

Skin microbiome signatures track uremic pruritus severity in hemodialysis patients.

Chronic kidney disease-associated pruritus (CKD-aP) is frequent in patients receiving maintenance hemodialysis and is often difficult to control. Whil...

Budget impact of implementing AI-enabled chest X-ray based incidental pulmonary nodule detection for early lung cancer diagnosis: models from Colombia, Costa Rica, Mexico, Thailand and Vietnam.

OBJECTIVE: To assess the budget impact of incidental pulmonary nodule (IPN) detection using an artificial intelligence-software for chest X-ray (CXR) ...

Quantitative assessment of the 30-second sit-to-stand test using computer vision technology for physical therapists.

BACKGROUND: Falls are a leading cause of disability and mortality in older adults. The 30-second sit-to-stand test (30STS) traditionally relies on rep...