Infectious Disease

A Fourfold Pathogen Reference Ontology Suite

Infectious diseases remain a critical global health challenge, and the integration of standardized ontologies plays a vital role in managing related data. The Infectious Disease Ontology (IDO) and its extensions, such as the Coronavirus Infectious Disease Ontology (CIDO), are essential for organizing and disseminating information related to infectious diseases. The COVID-19 pandemic highlighted ...

Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques

This paper presents a comprehensive study on the classification and detection of Silicosis-related lung inflammation. Our main contributions include 1) the creation of a newly curated chest X-ray (CXR) image dataset named SVBCX that is tailored to the nuances of lung inflammation caused by distinct agents, providing a valuable resource for silicosis and pneumonia research community; and 2) we pr...

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection

Malaria remains a significant global health burden, particularly in resource-limited regions where timely and accurate diagnosis is critical to effe...

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction

Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early sepsis prediction and identification allow for timely ...

Analyzing Country-Level Vaccination Rates and Determinants of Practical Capacity to Administer COVID-19 Vaccines

The COVID-19 vaccine development, manufacturing, transportation, and administration proved an extreme logistics operation of global magnitude. Globa...

Human-Centered Design for AI-based Automatically Generated Assessment Reports: A Systematic Review

This paper provides a comprehensive review of the design and implementation of automatically generated assessment reports (AutoRs) for formative use...

Predicting Long Term Sequential Policy Value Using Softer Surrogates

Off-policy policy evaluation (OPE) estimates the outcome of a new policy using historical data collected from a different policy. However, existing ...

Iterative structural coarse-graining for contagion dynamics in complex networks

Contagion dynamics in complex networks drive critical phenomena such as epidemic spread and information diffusion,but their analysis remains computa...

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data

This study aims to explore the automatic classification method of pneumonia X-ray images based on VGG19 deep convolutional neural network, and evalu...

Self-Calibrated Dual Contrasting for Annotation-Efficient Bacteria Raman Spectroscopy Clustering and Classification

Raman scattering is based on molecular vibration spectroscopy and provides a powerful technology for pathogenic bacteria diagnosis using the unique ...

Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images

Coronavirus Disease 2019 (COVID-19) pandemic rapidly spread globally, impacting the lives of billions of people. The effective screening of infected...

Integrating Zero-Shot Classification to Advance Long COVID Literature: A Systematic Social Media-Centered Review

Long COVID continues to challenge public health by affecting a significant segment of individuals who have recovered from acute SARS-CoV-2 infection...

[Identification of kidney stone types by deep learning integrated with radiomics features].

Currently, the types of kidney stones before surgery are mainly identified by human beings, which directly leads to the problems of low classification...

Post-pandemic social contacts in Italy: implications for social distancing measures on in-person school and work attendance

The collection of updated data on social contact patterns following the COVID-19 pandemic disruptions is crucial for future epidemiological assessme...

[Application of artificial intelligence in parasitic diseases and parasitology].

The rapid development of artificial intelligence poses a huge impact on health and has become a core driving force for the new generation of the scien...

Generating Completions for Fragmented Broca's Aphasic Sentences Using Large Language Models

Broca's aphasia is a type of aphasia characterized by non-fluent, effortful and fragmented speech production with relatively good comprehension. Sin...

Quantifying Public Response to COVID-19 Events: Introducing the Community Sentiment and Engagement Index

This study introduces the Community Sentiment and Engagement Index (CSEI), developed to capture nuanced public sentiment and engagement variations o...

Diffusion-Based Approaches in Medical Image Generation and Analysis

Data scarcity in medical imaging poses significant challenges due to privacy concerns. Diffusion models, a recent generative modeling technique, off...

Asynchronous-Many-Task Systems: Challenges and Opportunities -- Scaling an AMR Astrophysics Code on Exascale machines using Kokkos and HPX

Dynamic and adaptive mesh refinement is pivotal in high-resolution, multi-physics, multi-model simulations, necessitating precise physics resolution...

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences

The availability of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus data post-COVID has reached exponentially to an enormous magn...