Pneumonia

Melioidosis molecular diagnostics: An update.

Melioidosis, a fatal tropical disease, presents a wide array of clinical manifestations, including abscesses, pneumonia, septic shock, bacteraemia, osteomyelitis, septic arthritis, and skin infection. The Centers for Disease Control and Prevention (CDC) has classified (), a gram-negative bacterium found in soil, as a Tier 1 select agent. Referred to as the "great mimicker," this organism can infe...

Sepsis criteria and kidney function: eliminating sex, age and economic status biases.

The kidney is a target organ for the dysregulated host response to infection that defines sepsis, and acute kidney injury (AKI) is often an early manifestation of this response. Current sepsis criteria for adults (Sepsis-3) continue to include outmoded measures of kidney health, such as absolute creatinine values, which are used in organ failure scoring independently of baseline kidney function or...

Predictive Stability in Biopharmaceuticals and Vaccines: Perspectives and Recommendations Towards Accelerating Patient Access.

The perspective review discusses predictive stability computational modeling and scientific risk-based approaches to prospectively assess long-term st...

Predicting Stroke-Associated Pneumonia in Acute Ischemic Stroke: A Machine Learning Model Development and Validation Study with CBC-Derived Inflammatory Indices.

PURPOSE: Stroke-associated pneumonia (SAP), a critical complication of ischemic stroke, significantly worsens outcomes. Our aim was to identify SAP ri...

Implementation costs and cost-effectiveness of ultraportable chest X-ray with artificial intelligence in active case finding for tuberculosis in Nigeria.

Availability of ultraportable chest x-ray (CXR) and advancements in artificial intelligence (AI)-enabled CXR interpretation are promising developments...

Challenges and Opportunities for Global Cervical Cancer Elimination: How Can We Build a Model for Other Cancers?

Cervical cancer remains a leading cause of cancer-related death among women globally, despite the availability of effective prevention through human p...

Bayesian optimization and machine learning for vaccine formulation development.

Developing vaccines with a better stability is an area of improvement to meet the global health needs of preventing infectious diseases. With the adva...

Machine learning based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases.

Gut microbiota has been implicated in the pathogenesis of multiple gastrointestinal (GI) and systemic metabolic and inflammatory disorders where disru...

Predicting breast self-examination awareness in Sub-Saharan Africa using machine learning.

Breast self-examination is a very cost-reducing approach that significantly decreases the cost burdens associated with medical equipment, fees of heal...

Explainable Artificial Intelligence in Radiological Cardiovascular Imaging-A Systematic Review.

Artificial intelligence (AI) and deep learning are increasingly applied in cardiovascular imaging. However, the "black box" nature of these models ra...

Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis via Machine Learning.

BACKGROUND: Chronic eosinophilic pneumonia (CEP) can occur concurrently with chronic rhinosinusitis (CRS). However, crucial features of comorbid CEP i...

AI-Enhanced Rural Medical Education: Bridging Gaps and Building Trust.

Persistent geographic and specialty-based disparities in health care workforce distribution have created critical gaps in rural health care access, re...

Estimating Total Lung Volume from Pixel-Level Thickness Maps of Chest Radiographs Using Deep Learning.

Purpose To estimate the total lung volume (TLV) from real and synthetic frontal chest radiographs (CXR) on a pixel level using lung thickness maps ge...

A systematic review and meta-analysis of artificial intelligence software for tuberculosis diagnosis using chest X-ray imaging.

BACKGROUND: Pulmonary tuberculosis (PTB) remains a global public health challenge, with 10.8 million new cases reported in 2023. Early diagnosis is cr...

A Deep Neural Network Framework for the Detection of Bacterial Diseases from Chest X-Ray Scans.

AIMS: This research aims to develop an advanced deep-learning framework for detecting respiratory diseases, including COVID-19, pneumonia, and tubercu...

Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review.

As a major worldwide health concern, influenza still requires precise modeling of flu dynamics and efficient treatment approaches. Deep learning archi...

Leveraging pre-vaccination antibody titres across multiple influenza H3N2 variants to forecast the post-vaccination response.

BACKGROUND: Despite decades of research on the influenza virus, we still lack a predictive understanding of how vaccination reshapes each person's ant...

Multi-Omics Analysis of the virulence factors and designing of next-generation multi-epitopes Vaccines against Rickettsia prowazekii: a computer-aided vaccine designing approach.

Rickettsia is a genus of bacteria that are obligate intracellular parasites and are responsible for the febrile diseases known collectively as Rickett...

Overlapping community detection via Layer-Jaccard similarity incorporated nonnegative matrix factorization.

As information modernization progresses, the connections between entities become more elaborate, forming more intricate networks. Consequently, the em...

Characterising physical activity patterns in community-dwelling older adults using digital phenotyping: a 2-week observational study protocol.

INTRODUCTION: Physical activity (PA) is crucial for older adults' well-being and mitigating health risks. Encouraging active lifestyles requires a dee...