Public Health

Childhood Asthma: Advances Using Machine Learning and Mechanistic Studies.

A paradigm shift brought by the recognition that childhood asthma is an aggregated diagnosis that comprises several different endotypes underpinned by different pathophysiology, coupled with advances in understanding potentially important causal mechanisms, offers a real opportunity for a step change to reduce the burden of the disease on individual children, families, and society. Data-driven met...

Real-time Epidemic Forecasting: Challenges and Opportunities.

Infectious disease outbreaks play an important role in global morbidity and mortality. Real-time epidemic forecasting provides an opportunity to predict geographic disease spread as well as case counts to better inform public health interventions when outbreaks occur. Challenges and recent advances in predictive modeling are discussed here. We identified data needs in the areas of epidemic surveil...

Safety and Immunogenicity of Two Doses of a Quadrivalent Meningococcal Polysaccharide Diphtheria Toxoid Conjugate Vaccine in Indian and Russian Children Aged 9 to 17 Months.

OBJECTIVE: Evaluation of tolerability, safety and immunogenicity of a two-dose series of a quadrivalent meningococcal polysaccharide diptheria toxoid ...

Phylogenomics and Infectious Potential of Avian Avulaviruses Species-Type 1 Isolated from Healthy Green-Winged Teal () from a Wetland Sanctuary of Indus River.

Given the importance of (AAvVs) in commercial poultry, continuous monitoring and surveillance in natural reservoirs (waterfowls) is imperative. Here,...

Predicting reservoir hosts and arthropod vectors from evolutionary signatures in RNA virus genomes.

Identifying the animal origins of RNA viruses requires years of field and laboratory studies that stall responses to emerging infectious diseases. Usi...

Statistical Learning Methods to Determine Immune Correlates of Herpes Zoster in Vaccine Efficacy Trials.

Using Super Learner, a machine learning statistical method, we assessed varicella zoster virus-specific glycoprotein-based enzyme-linked immunosorbent...

[Big data and artificial intelligence for diagnostic decision support in atypical dementia].

The differential diagnosis of atypical dementia remains difficult. The use of positron emission tomography (PET) still represents the gold standard fo...

Immunogenicity, Safety, and Tolerability of Live Attenuated VaricellaZoster Virus Vaccine (ZOSTAVAX™) in Healthy Adults in India.

BACKGROUND: Herpes zoster (HZ) is caused by varicella-zoster virus ( VZV ) reactivation. In the United States, Zoster vaccine (ZOSTAVAX) is indicated ...

Data-Adaptive Estimation for Double-Robust Methods in Population-Based Cancer Epidemiology: Risk Differences for Lung Cancer Mortality by Emergency Presentation.

In this paper, we propose a structural framework for population-based cancer epidemiology and evaluate the performance of double-robust estimators for...

Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology.

The increasing availability of electronic health data presents a major opportunity in healthcare for both discovery and practical applications to impr...

Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation.

OBJECTIVE: Recent years have seen increased worldwide popularity of e-cigarette use. However, the risks of e-cigarettes are underexamined. Most e-ciga...

Prokaryotic Expression of Hepatitis C Virus-NS3 Protein and Preparation of a Monoclonal Antibody.

Hepatitis C virus (HCV) is a significant health threat that has been extensively investigated worldwide. Improving the sensitivity and specificity of ...

[Construction and identification of nanobody phage display library targeting Middle East respiratory syndrome coronavirus].

Objective To construct a phage display library of specific nano-antibodies against the Middle East respiratory syndrome coronavirus (MERS-CoV) and app...

Person Re-identification by Multi-hypergraph Fusion.

Matching people across nonoverlapping cameras, also known as person re-identification, is an important and challenging research topic. Despite its gre...

[Effect of Recombinant Antigen Ferritin on DC Induce Immune Response].

OBJECTIVE: To explore the immunoreaction against protoscolex infection by the recombinant ferritin of echinococcus granulosus (rEg.ferritin) immunized...

Automated Extraction of VTE Events From Narrative Radiology Reports in Electronic Health Records: A Validation Study.

BACKGROUND: Surveillance of venous thromboembolisms (VTEs) is necessary for improving patient safety in acute care hospitals, but current detection me...

Impact of Clinical Parameters in the Intrahost Evolution of HIV-1 Subtype B in Pediatric Patients: A Machine Learning Approach.

Determining the factors modulating the genetic diversity of HIV-1 populations is essential to understand viral evolution. This study analyzes the rela...

Identifying personal health experience tweets with deep neural networks.

Twitter, as a social media platform, has become an increasingly useful data source for health surveillance studies, and personal health experiences sh...

Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires.

MOTIVATION: Somatic DNA recombination, the hallmark of vertebrate adaptive immunity, has the potential to generate a vast diversity of antigen recepto...

An artificial neural network prediction model of congenital heart disease based on risk factors: A hospital-based case-control study.

An artificial neural network (ANN) model was developed to predict the risks of congenital heart disease (CHD) in pregnant women.This hospital-based ca...