Pneumonia

Purification of influenza virus-like particles using sulfated cellulose membrane adsorbers.

BACKGROUND: Vaccines based on virus-like particles (VLPs) are an alternative to inactivated viral vaccines that combine good safety profiles with strong immunogenicity. In order to be economically competitive, efficient manufacturing is required, in particular downstream processing, which often accounts for major production costs. This study describes the optimization and establishment of a chroma...

The effect of intraoperative lung protective ventilation vs conventional ventilation, on postoperative pulmonary complications after cardiopulmonary bypass.

This study aimed to evaluate the effects of high positive-end expiratory pressure (PEEP) and low tidal volume (TV) and recruitment maneuver, on postoperative pulmonary complications (PPCs) after coronary artery bypass grafting (CABG) surgery. This study is a randomized double blind clinical trial on 64 patients who were undergoing CABG surgery, and were randomly divided into two groups of conven...

Critical dynamics in population vaccinating behavior.

Vaccine refusal can lead to renewed outbreaks of previously eliminated diseases and even delay global eradication. Vaccinating decisions exemplify a c...

A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries.

INTRODUCTION: In recent years, demand to improve child immunization coverage globally, and the development of the latest vaccines and technology has m...

Ruminal fermentation and microbial community differently influenced by four typical subtropical forages .

The present study evaluated the effects of 4 typical subtropical forages on ruminal microbial community composition to formulate a better diet for buf...

Ab-initio conformational epitope structure prediction using genetic algorithm and SVM for vaccine design.

BACKGROUND AND OBJECTIVE: T-cell epitope structure identification is a significant challenging immunoinformatic problem within epitope-based vaccine d...

Predicting Ascospore Release of Monilinia vaccinii-corymbosi of Blueberry with Machine Learning.

Mummy berry, caused by Monilinia vaccinii-corymbosi, causes economic losses of highbush blueberry in the U.S. Pacific Northwest (PNW). Apothecia devel...

Advancing Scientific Methods in Community and Cultural Context to Promote Health Equity: Lessons From Intervention Outcomes Research With American Indian and Alaska Native Communities.

Evidence-based interventions hold promise for reducing gaps in health equity across diverse populations, but evidence about effectiveness within these...

Detection of lung cancer in exhaled breath with an electronic nose using support vector machine analysis.

Lung cancer is one of the most common malignancies and has a low 5-year survival rate. There are no cheap, simple and widely available screening metho...

Identification of immune correlates of protection in Shigella infection by application of machine learning.

BACKGROUND: Immunologic correlates of protection are important in vaccine development because they give insight into mechanisms of protection, assist ...

NoGOA: predicting noisy GO annotations using evidences and sparse representation.

BACKGROUND: Gene Ontology (GO) is a community effort to represent functional features of gene products. GO annotations (GOA) provide functional associ...

Investigations into the physical and chemical stability of concentrated co-trimoxazole intravenous infusions.

OBJECTIVES: High dose of intravenous sulfamethoxazole and trimethoprim (co-trimoxazole) is often used in immunocompromised patients for the treatment ...

Mapping quorum sensing onto neural networks to understand collective decision making in heterogeneous microbial communities.

Microbial communities frequently communicate via quorum sensing (QS), where cells produce, secrete, and respond to a threshold level of an autoinducer...

Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data.

BACKGROUND: As one of the serious public health issues, vaccination refusal has been attracting more and more attention, especially for newly approved...

The rise of artificial intelligence and the uncertain future for physicians.

Physicians in everyday clinical practice are under pressure to innovate faster than ever because of the rapid, exponential growth in healthcare data. ...

Fuzzy model to estimate the number of hospitalizations for asthma and pneumonia under the effects of air pollution.

OBJECTIVE: Predict the number of hospitalizations for asthma and pneumonia associated with exposure to air pollutants in the city of São José dos Camp...

ADMET Evaluation in Drug Discovery. Part 17: Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxicity.

As a dangerous end point, respiratory toxicity can cause serious adverse health effects and even death. Meanwhile, it is a common and traditional issu...

An efficient semi-supervised community detection framework in social networks.

Community detection is an important tasks across a number of research fields including social science, biology, and physics. In the real world, topolo...

Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks.

Identifying topics of discussions in online health communities (OHC) is critical to various information extraction applications, but can be difficult ...

Ontology-based literature mining of E. coli vaccine-associated gene interaction networks.

BACKGROUND: Pathogenic Escherichia coli infections cause various diseases in humans and many animal species. However, with extensive E. coli vaccine r...