Infectious Disease

Vaccines

Latest AI and machine learning research in vaccines for healthcare professionals.

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PCPAm - A dataset of histopathological images of penile cancer for classification tasks.

Penile cancer has an incidence strongly linked to sociocultural factors, being more common in underd...

Accelerating vaccine development: Plug-and-play platforms for emerging infectious diseases.

Emerging pathogens underscore an urgent need for rapidly developed vaccines to minimize mortality an...

Advances in vaccine adjuvant development and future perspectives.

Use of highly purified antigens to improve vaccine safety has led to reduced immunogenicity and effi...

Cancer vaccines and the future of immunotherapy.

Vaccines have had a major impact on the control of infectious disease, most recently by helping to c...

Long-term COVID-19 symptoms and post-vaccination reactions among prolonged COVID-19 patients in the Kurdistan region of Iraq.

Vaccination has long been recognized as the most effective means for disease prevention, yet concern...

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 b...

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

The perspective review discusses predictive stability computational modeling and scientific risk-bas...

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 av...

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 need...

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 avail...

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 Mismatc...

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 (...

Development Of the VAMPCT Score for Predicting Mortality in CKD Patients with COVID-19.

Chronic kidney disease (CKD) patients with coronavirus disease 2019 (COVID-19) are at significant r...

Recent Advances in Applications of Machine Learning in Cervical Cancer Research: A Focus on Prediction Models.

Artificial intelligence (AI) and machine learning (ML) are transforming cervical cancer research and...

CervicalMethDx: a precision DNA methylation test to identify risk of high-grade intraepithelial lesions in cervical cancer screening algorithms.

Cervical cancer is one of the most common cancers in women. Despite progress in prevention and succe...

Can ChatGPT Counter Vaccine Hesitancy? An Evaluation of ChatGPT's Responses to Simulated Queries from the General Public.

Vaccines have eradicated deadly diseases, yet vaccine hesitancy persists, leading to reduced uptake...

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 e...

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 understan...

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