Pulmonology

Pneumonia

Latest AI and machine learning research in pneumonia for healthcare professionals.

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Expanding phenological insights: automated phenostage annotation with community science plant images.

Plant phenology plays a pivotal role in understanding the interactions between plants and their envi...

Enhancing diagnostic innovation by leveraging the co-creation approach.

Digital innovation in precision diagnostics requires addressing complex challenges, such as implemen...

Exploring the complex associations between community public spaces and healthy aging: an explainable analysis using catboost and SHAP.

BACKGROUND: As global aging accelerates, community public spaces (CPS) are increasingly recognized a...

Responses of Microbial Community to Heterogeneous Dissolved Organic Nitrogen Constituents in the Hyporheic Zones of Treated Sewage-Dominated Rivers.

The hyporheic zone (HZ) of treated sewage-dominated rivers serves as a critical biogeochemical hotsp...

Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomics.

BACKGROUND: In clinical work, there are difficulties in distinguishing pulmonary contusion(PC) from ...

Moral judgments in online discourse are not biased by gender.

The interaction between social norms and gender roles prescribes gender-specific behaviors that infl...

Language models learn to represent antigenic properties of human influenza A(H3) virus.

Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and...

GCN-based unsupervised community detection with refined structure centers and expanded pseudo-labeled set.

Community detection is a classical problem for analyzing the structures of various graph-structured ...

HEalth Record Optimization for Identifying Candidates for HIV PRe-Exposure Prophylaxis: A Community-Informed Approach to Model Development.

Electronic health record (EHR)-based models to identify individuals who may benefit from pre-exposur...

Artificial Intelligence and Stigma in Addiction Research: Insights From the HEALing Communities Study Coalition Meetings.

OBJECTIVES: This paper describes how artificial intelligence (AI) was used to analyze meeting minute...

Adaptive DDoS detection mode in software-defined SIP-VoIP using transfer learning with boosted meta-learner.

The Internet has continued to provision its infrastructure as a platform for competitive marketing, ...

Machine learning prediction models for stroke-associated pneumonia:Meta-analysis.

OBJECTIVE: The heterogeneity of machine learning (ML) models predicting the risk of stroke-associate...

Association rule mining of the human gut microbiome.

The human gut carries a vast and diverse microbial community that is essential for human health. Und...

Accelerating vaccine development: Plug-and-play platforms for emerging infectious diseases.

Emerging pathogens underscore an urgent need for rapidly developed vaccines to minimize mortality an...

Advances in vaccine adjuvant development and future perspectives.

Use of highly purified antigens to improve vaccine safety has led to reduced immunogenicity and effi...

Cancer vaccines and the future of immunotherapy.

Vaccines have had a major impact on the control of infectious disease, most recently by helping to c...

Long-term COVID-19 symptoms and post-vaccination reactions among prolonged COVID-19 patients in the Kurdistan region of Iraq.

Vaccination has long been recognized as the most effective means for disease prevention, yet concern...

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