Pneumonia

Fertilization management reshapes plant-nematode interactions across global ecosystems.

INTRODUCTION: Understanding how fertilization shapes the composition and functioning of soil nematodes is critical for maximizing agricultural sustainability and plant productivity. However, we lack a unified understanding of how different fertilizer regimes influence the nematode-plant productivity relationship across the globe. OBJECTIVES: This study aimed to investigate whether targeted fertili...

Multi-epitope tick vaccines: From computational design to field deployment, immunoinformatics approaches, validation challenges, and translational pathways.

Ticks are major vectors of pathogens affecting both humans and animals, yet effective and sustainable control strategies remain limited. Conventional vaccines based on the concealed antigen Bm86 provide only partial protection and are often constrained by antigenic variability and strain-specific responses. Recent advances in immunoinformatics have enabled the rational design of multi-epitope vacc...

T-cell-mediated immunity to influenza A (H2N3): implications for caccine efficacy and cross-subtype protection.

Influenza A viruses pose a significant pandemic threat, with H2N3 in particular representing a subtype of particular concern due to limited population...

Predicting COVID-19 Vaccination Decision-Making Profiles Among Dutch Adults: From Survey to National Administrative Data.

Individual's vaccination behaviors are influenced by factors such as values and beliefs. Applying latent class analysis (LCA) to such factors from the...

Automated abdominal aortic calcification, muscle health and incident falls: the UK Biobank Imaging Study.

Emerging evidence suggests that vascular disease is linked with poorer muscle strength and higher falls risk. We evaluated the association between abd...

The AI4GH community of practice: strengthening LMIC-Led artificial intelligence for global health.

Efforts to research, implement and scale responsible Artificial Intelligence (AI) for addressing health challenges in low- and middle-income countries...

Content matters, context matters: unraveling behavior dynamics in an online health community for tobacco cessation.

OBJECTIVES: The objective of this research was to examine the content and context-specific information diffusion patterns underlying communication per...

Unveiling Viral Escape Mechanisms With Machine Learning: A Transformative Approach to Mutation Analysis for SARS-CoV-2 and Beyond.

Persistent viruses like Influenza, HIV, and Coronavirus exemplify the challenge of viral escape, significantly hindering the development of long-lasti...

Prospects and Challenges of Personalized Immunotherapy in Breast Cancer Treatment and Long-term Cancer Management.

Breast cancer is highly heterogeneous,and different molecular subtypes exhibit significant variations in their response to immunotherapy.While signifi...

Improving Diagnosis of Severe Paediatric Lymphobronchial Tuberculosis Using Segmentation and Deep Learning on Chest X-Rays.

BACKGROUND: Diagnosing intrathoracic tuberculosis (TB) in children under five years of age remains challenging. Clinical symptoms often overlap with t...

Determinants of Medical Help-Seeking Behavior Following Case Finding of Early Cognitive Impairment: Semistructured Interview Study of Patients and Caregivers.

BACKGROUND: Timely medical follow-up after a diagnosis of cognitive impairment, such as mild cognitive impairment (MCI) or dementia, is imperative for...

Hybrid fractional groupers and moray eels driven deep learning for pneumonia detection using multi-modal data in federated learning.

Pneumonia is a severe lung infection triggered by various viral pathogens. Detecting and diagnosing pneumonia using clinical images is challenging bec...

Evaluation of a deep learning model applied to chest X-rays of patients with suspected pneumonia presenting to the emergency department designed to predict admission risk: a retrospective training and prospective non-intervention validation.

OBJECTIVES: To develop, train and test a deep learning model Image-based PROgnostication applied to Chest X Rays (IPRO-X) tool that predicts the inpat...

Synonymous mutations in viral evolution and vaccine design.

Synonymous mutations, long regarded as evolutionarily neutral, are increasingly recognized as important determinants of viral evolution and adaptation...

Viral pneumonia detection during the COVID-19 pandemic using deep learning and DCGAN-based data augmentation.

Deep learning has shown strong potential for automated chest X-ray analysis in the diagnosis of respiratory diseases. However, accurate detection of v...

A novel lexicon dictionary and CNN-LSTM employed hybrid approach for sentiment detection of COVID-19 vaccines.

With the rapid advancement of the internet, social media has become an integral part of human life. It provides a soothing platform for people to shar...

Assessing community resilience during the first COVID-19 wave peak in a megacity in eastern China: a cross-sectional study using social media data.

OBJECTIVES: In the face of pandemics resulting from infectious disease, improving community resilience has become increasingly vital. China's sudden e...

Early laboratory-based differentiation of severe influenza pneumonia and influenza-associated encephalopathy in children using a multi-model, stability-aware machine-learning workflow: a single-center retrospective cohort study.

BACKGROUND: Influenza-associated encephalopathy and acute necrotizing encephalopathy (ANE) are rare but devastating complications of pediatric influen...

Distilling Clinical Reasoning from Text Corpora for Explainable AI in Medical Imaging.

While deep learning models have achieved remarkable diagnostic accuracy in medical imaging, their inherent "black box" nature severely impedes clinica...

Development, Implementation, and Preliminary Results of a Novel Social Network for Rare Disease Communities: Mixed Methods Study.

BACKGROUND: Rare diseases affect approximately 20 million Europeans, presenting unique challenges such as delayed diagnoses, limited therapies, and si...