Devices and Vaccines

Onset and long-term duration of immunity provided by a single vaccination with recombinant a Marek's disease virus with REV-LTR insertion.

Marek's Disease (MD), caused by Marek's disease virus (MDV), is a highly contagious lymphoproliferat...

Deep Learning for Detecting and Subtyping Renal Cell Carcinoma on Contrast-Enhanced CT Scans Using 2D Neural Network with Feature Consistency Techniques.

 The aim of this study was to explore an innovative approach for developing deep learning (DL) algo...

Editorial: Systems immunology to advance vaccine development.

VaxOptiML: leveraging machine learning for accurate prediction of MHC-I and II epitopes for optimized cancer immunotherapy.

Cancer immunotherapy hinges on accurate epitope prediction for advancing vaccine development. VaxOpt...

Using machine learning for personalized prediction of longitudinal coronavirus disease 2019 vaccine responses in transplant recipients.

The coronavirus disease 2019 pandemic has underscored the importance of vaccines, especially for imm...

Integrating graph and reinforcement learning for vaccination strategies in complex networks.

Pandemics like COVID-19 have a huge impact on human society and the global economy. Vaccines are eff...

Predictive modelling of linear growth faltering among pediatric patients with Diarrhea in Rural Western Kenya: an explainable machine learning approach.

INTRODUCTION: Stunting affects one-fifth of children globally with diarrhea accounting for an estima...

Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy.

In this study, we introduce a novel approach that integrates interpretability techniques from both t...

Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines.

Next-generation T-cell-directed vaccines for COVID-19 focus on establishing lasting T-cell immunity ...

LRMAHpan: a novel tool for multi-allelic HLA presentation prediction using Resnet-based and LSTM-based neural networks.

INTRODUCTION: The identification of peptides eluted from HLA complexes by mass spectrometry (MS) can...

-targeted AI-driven vaccines: a paradigm shift in gastric cancer prevention.

, a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cance...

A deep learning approach predicting the activity of COVID-19 therapeutics and vaccines against emerging variants.

Understanding which viral variants evade neutralization is crucial for improving antibody-based trea...

Performance of Artificial Intelligence Chatbots in Answering Clinical Questions on Japanese Practical Guidelines for Implant-based Breast Reconstruction.

BACKGROUND: Artificial intelligence (AI) chatbots, including ChatGPT-4 (GPT-4) and Grok-1 (Grok), ha...

DEEP LEARNING-DRIVEN SEGMENTATION OF DENTAL IMPLANTS AND PERI-IMPLANTITIS DETECTION IN ORTHOPANTOMOGRAPHS: A NOVEL DIAGNOSTIC TOOL.

INTRODUCTION AND OBJECTIVE: Dental implants are well-established for restoring partial or complete t...

The translation of in-house imaging AI research into a medical device ensuring ethical and regulatory integrity.

This manuscript delineates the pathway from in-house research on Artificial Intelligence (AI) to the...

Advancement of post-market surveillance of medical devices leveraging artificial intelligence: Patient monitors case study.

BackgroundHealthcare institutions throughout the world rely on medical devices to provide their serv...

Revolutionizing cardiovascular disease classification through machine learning and statistical methods.

BACKGROUND: Cardiovascular diseases (CVDs) include abnormal conditions of the heart, diseased blood ...

Gender disparities in rural motorcycle accidents: A neural network analysis of travel behavior impact.

Rural road accidents involving motorcycle riders present a formidable challenge to road safety globa...

Comparison Between Conventional and Artificial Intelligence-Assisted Setup for Digital Implant Planning: Accuracy, Time-Efficiency, and User Experience.

OBJECTIVES: To investigate the reliability and time efficiency of the conventional compared to the a...

AI-Aided Gait Analysis with a Wearable Device Featuring a Hydrogel Sensor.

Wearable devices have revolutionized real-time health monitoring, yet challenges persist in enhancin...

Convolutional neural network for colorimetric glucose detection using a smartphone and novel multilayer polyvinyl film microfluidic device.

Detecting glucose levels is crucial for diabetes patients as it enables timely and effective managem...