Pneumonia

AI-assisted detection for chest X-rays (AID-CXR): a multi-reader multi-case study protocol.

INTRODUCTION: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Adva...

Local interpretable spammer detection model with multi-head graph channel attention network.

Fraudulent reviews posted by spammers on the online shopping websites mislead consumers' purchasing ...

A meta-analysis of AI and machine learning in project management: Optimizing vaccine development for emerging viral threats in biotechnology.

OBJECTIVES: Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative te...

AI-driven universal lower-limb exoskeleton system for community ambulation.

Exoskeletons offer promising solutions for improving human mobility, but a key challenge is ensuring...

NERVE 2.0: boosting the new enhanced reverse vaccinology environment via artificial intelligence and a user-friendly web interface.

BACKGROUND: Vaccines development in this millennium started by the milestone work on Neisseria menin...

Dysregulation of saliva and fecal microbiota as novel biomarkers of colorectal cancer.

The aim of this study was to investigate the biomarkers of salivary and fecal microbiota in Colorect...

Policy brief: Improving national vaccination decision-making through data.

Life course immunisation looks at the broad value of vaccination across multiple generations, callin...

Sustainable integration of artificial intelligence and machine learning approaches within the African infectious disease vaccine research and development ecosystem.

Artificial Intelligence and Machine Learning (AI/ML) techniques, including reverse vaccinology and p...

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...

ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists' intentions.

Using Deep Learning in computer-aided diagnosis systems has been of great interest due to its impres...

Evaluating generative artificial intelligence's limitations in health policy identification and interpretation.

Policy epidemiology utilizes human subject-matter experts (SMEs) to systematically surface, analyze,...

Novel concept for the healthy population influencing factors.

In the rapid urbanization process in China, due to reasons such as employment, education, and family...

Comparative study of DCNN and image processing based classification of chest X-rays for identification of COVID-19 patients using fine-tuning.

The conventional detection of COVID-19 by evaluating the CT scan images is tiresome, often experienc...

Editorial: Systems immunology to advance vaccine development.

Flexibility and resilience in equity-centered research: lessons learned conducting a randomized controlled trial of a family-based substance use prevention program for American Indian families.

Meaningful and effective community engagement lies at the core of equity-centered research, which is...

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...

Intersection of Performance, Interpretability, and Fairness in Neural Prototype Tree for Chest X-Ray Pathology Detection: Algorithm Development and Validation Study.

BACKGROUND: While deep learning classifiers have shown remarkable results in detecting chest X-ray (...

MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-Ray Self-Supervised Representation Learning.

Self-supervised learning (SSL) reduces the need for manual annotation in deep learning models for me...

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...

Deanthropomorphising NLP: Can a language model be conscious?

This work is intended as a voice in the discussion over previous claims that a pretrained large lang...

Predictive analysis of COVID-19 occurrence and vaccination impacts across the 50 US states.

OBJECTIVE: This study aimed to outline a machine learning model to assess the effectiveness of vacci...