Vaccines

Leafing a mark on immunity: Quercetin-3-O-D-glucopyranoside and quercetin-3-O-(2″,6″-digalloyl)-β-D-galactopyranoside-rich Melia azedarach L. extract's immunoinflammatory effects on an sRBC-immunized BALB/c model.

Melia azedarach L. (Meliaceae) (MA) leaves are traditionally used for inflammatory disorders, yet their immunomodulatory effects on lymphocytes remain underexplored. This study investigates the ethyl-acetate partition of a 90 % ethanolic leaf extract (MLE) using LC-MS, HPLC-UV, in silico, in vitro, and in vivo methods to evaluate lymphocyte responses. HPLC-UV identified quercetin-3-O-D-glucopyrano...

Artificial Intelligence Measured Tumor Burden and Pre-Treatment Circulating Tumor DNA in Human Papilloma Virus-Associated Oropharynx Cancer.

BACKGROUND: Artificial intelligence (AI)-based imaging analysis and circulating tumor-associated DNA (ctDNA) are both being used diagnostically in HPV-driven oropharynx squamous cell carcinoma (HPV-OPSCC). We evaluated associations between AI-measured tumor burden and ctDNA.

Neural networks to model COVID-19 dynamics and allocate healthcare resources.

This study presents a neural network-based framework for COVID-19 transmission prediction and healthcare resource optimization. The model achieves hig...

A digital photography dataset for Vaccinia Virus plaque quantification using Deep Learning.

Virological plaque assay is the major method of detecting and quantifying infectious viruses in research and diagnostic samples. Furthermore, viral pl...

Advancements in fluorescent nanobiosensors for HPV detection: from integrating nanomaterials to DNA nanotechnology.

Human papillomavirus (HPV) is a leading cause of cervical cancer and other malignancies, necessitating the development of highly sensitive and specifi...

Pathogenicity and virulence of lumpy skin disease virus: A comprehensive update.

Lumpy skin disease (LSD), which was confined to the Africa for many decades, has expanded its geographical distribution to numerous countries across A...

Role of artificial intelligence in advancing immunology.

Artificial intelligence (AI) has revolutionized various biomedical fields, particularly immunology, by enhancing vaccine development, immunotherapies,...

Design of nanobody targeting SARS-CoV-2 spike glycoprotein using CDR-grafting assisted by molecular simulation and machine learning.

The design of proteins capable effectively binding to specific protein targets is crucial for developing therapies, diagnostics, and vaccine candidate...

Use of ChatGPT for patient education involving HPV-associated oropharyngeal cancer.

OBJECTIVE: This study aims to investigate the ability of ChatGPT to generate reliably accurate responses to patient-based queries specifically regardi...

Surface-Enhanced Raman Scattering (SERS) combined with machine learning enables accurate diagnosis of cervical cancer: From molecule to cell to tissue level.

The rising number of cervical cancer cases is placing a heavy economic strain on the country and its people. Improving survival rates hinges on early ...

Vaccinology in the artificial intelligence era.

Artificial intelligence (AI) has already transformed vaccine antigen design and could transform the entire vaccinology pipeline, including immune resp...

A vaccine chatbot intervention for parents to improve HPV vaccination uptake among middle school girls: a cluster randomized trial.

Conversational artificial intelligence, in the form of chatbots powered by large language models, offers a new approach to facilitating human-like int...

Clinical microbiology and artificial intelligence: Different applications, challenges, and future prospects.

Conventional clinical microbiological techniques are enhanced by the introduction of artificial intelligence (AI). Comprehensive data processing and a...

Deep learning informed multimodal fusion of radiology and pathology to predict outcomes in HPV-associated oropharyngeal squamous cell carcinoma.

BACKGROUND: We aim to predict outcomes of human papillomavirus (HPV)-associated oropharyngeal squamous cell carcinoma (OPSCC), a subtype of head and n...

Enhancing Relation Extraction for COVID-19 Vaccine Shot-Adverse Event Associations with Large Language Models.

OBJECTIVE: The rapid evolution of the COVID-19 virus has led to the development of different vaccine shots, each designed to combat specific variants ...

Optimizing fractionation schedules for de-escalation radiotherapy in head and neck cancers using deep reinforcement learning.

PURPOSE: Patients with locally-advanced head and neck squamous cell carcinomas (HNSCCs), particularly those related to human papillomavirus (HPV), oft...

Modifiable risk factors of vaccine hesitancy: insights from a mixed methods multiple population study combining machine learning and thematic analysis during the COVID-19 pandemic.

BACKGROUND: Vaccine hesitancy, the delay in acceptance or reluctance to vaccinate, ranks among the top threats to global health. Identifying modifiabl...

Unraveling the power of NAP-CNB's machine learning-enhanced tumor neoantigen prediction.

In this study, we present a proof-of-concept classical vaccination experiment that validates the in silico identification of tumor neoantigens (TNAs) ...

Leveraging swin transformer with ensemble of deep learning model for cervical cancer screening using colposcopy images.

Cervical cancer (CC) is the leading cancer, which mainly affects women worldwide. It generally occurs from abnormal cell evolution in the cervix and a...

Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas.

OBJECTIVES: Human papillomavirus (HPV) influences the pathobiology of Head and Neck Squamous Cell Carcinomas (HSNCCs). While deep learning shows promi...