Vaccines

Predicting SARS-CoV-2-specific CD4 and CD8 T-cell responses elicited by inactivated vaccines in healthy adults using machine learning models.

The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highlights the importance of monitoring immune responses to guide vaccination strategies. Although neutralizing antibodies (NAbs) have garnered increasing attention, T-cells are crucial for conferring long-lasting immunity, especially their resilience against viral mutations. However, assessing T-cell re...

Progress in the application research of cervical cancer screening developed by artificial intelligence in large populations.

Cervical cancer stands out among various cancers due to its potential for prevention and eradication, mainly through vaccination and proactive screening measures. However, there are still a large number of women in low- and middle-income countries who need to undergo cervical cancer screening. Conventional cervical cancer screening approaches possess distinct benefits and drawbacks regarding sensi...

Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home.

The frequent global outbreaks of viral infectious diseases have significantly heightened the urgent demand for molecular testing at home. However, the...

Machine learning approaches to dissect hybrid and vaccine-induced immunity.

BACKGROUND: The spread of SARS-CoV-2 Omicron variant and its subvariants, highly transmissible but responsible of milder disease, has increased unrepo...

Development of machine learning prediction models for systemic inflammatory response following controlled exposure to a live attenuated influenza vaccine in healthy adults using multimodal wearable biosensors in Canada: a single-centre, prospective controlled trial.

BACKGROUND: Presymptomatic or asymptomatic immune system signals and subclinical physiological changes might provide a more objective measure of early...

A secured accreditation and equivalency certification using Merkle mountain range and transformer based deep learning model for the education ecosystem.

An Accreditation and equivalency certificate Verification System is required to ensure integrity, trust, and recognition of qualifications within the ...

Identification of volatile organic compound (VOC) as a novel modality for cervical cancer detection.

OBJECTIVE: In this study, we developed a novel detection strategy based on volatile organic compound (VOC) sensing. Persistent infection by human papi...

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 circulating viruses, it is important to assess th...

Antimicrobial peptides: An important link in the game theory between plants and pathogens.

BACKGROUND: Antimicrobial peptides (AMPs) are peptides produced by organisms during the evolutionary process to defend themselves against external bio...

Machine learning model for prediction of coronavirus disease 2019 within 6 months after three doses of BNT162b2 in Hong Kong.

INTRODUCTION: We aimed to develop a machine learning (ML) model to predict the risk of coronavirus disease 2019 (COVID-19) among three-dose BNT162b2 v...

Utilizing Machine Learning to Improve Neutralization Potency of an HIV-1 Antibody Targeting the gp41 N-Heptad Repeat.

The N-heptad repeat (NHR) of the HIV-1 gp41 prehairpin intermediate (PHI) is an attractive potential vaccine target with high sequence conservation ac...

Cancer vaccines and the future of immunotherapy.

Vaccines have had a major impact on the control of infectious disease, most recently by helping to combat the COVID-19 pandemic. Prophylactic cancer v...

Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional Study.

BACKGROUND: The COVID-19 pandemic has been accompanied by an unprecedented infodemic characterized by the widespread dissemination of misinformation. ...

Integrated analysis of oral rinse-derived and plasma circulating tumour DNA for mutation profiling and outcome prediction with oral squamous cell carcinoma.

This study evaluates the potential of oral rinse-derived and plasma circulating tumour DNA (ctDNA) in HPV-negative oral squamous cell carcinoma (OSCC)...

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...

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...

Detecting Extranodal Extension in HPV-Related Oropharyngeal Cancer via Machine Learning.

OBJECTIVE: To assess the performance of machine learning (ML) models trained on large publicly available databases in predicting extranodal extension ...

A radiogenomics study on F-FDG PET/CT in endometrial cancer by a novel deep learning segmentation algorithm.

OBJECTIVE: To create an automated PET/CT segmentation method and radiomics model to forecast Mismatch repair (MMR) and TP53 gene expression in endomet...

Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks.

Systematic literature review (SLR) is an important tool for Health Economics and Outcomes Research (HEOR) evidence synthesis. SLRs involve the identif...