Infectious Disease

Public Health

Latest AI and machine learning research in public health for healthcare professionals.

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Multi-concept Model Immunization through Differentiable Model Merging

Model immunization is an emerging direction that aims to mitigate the potential risk of misuse ass...

Assessing the effectiveness of test-trace-isolate interventions using a multi-layered temporal network

In the early stage of an infectious disease outbreak, public health strategies tend to gravitate t...

Physics-Based Adversarial Attack on Near-Infrared Human Detector for Nighttime Surveillance Camera Systems

Many surveillance cameras switch between daytime and nighttime modes based on illuminance levels. ...

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification

The global outbreak of the Mpox virus, classified as a Public Health Emergency of International Co...

CAD-Unet: A Capsule Network-Enhanced Unet Architecture for Accurate Segmentation of COVID-19 Lung Infections from CT Images

Since the outbreak of the COVID-19 pandemic in 2019, medical imaging has emerged as a primary moda...

Estimating the treatment effect over time under general interference through deep learner integrated TMLE

Understanding the effects of quarantine policies in populations with underlying social networks is...

Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking

This project aims to develop a robust video surveillance system, which can segment videos into sma...

Multi-scale phylodynamic modelling of rapid punctuated pathogen evolution

Computational multi-scale pandemic modelling remains a major and timely challenge. Here we identif...

Mitigating epidemic spread in complex networks based on deep reinforcement learning.

Complex networks are susceptible to contagious cascades, underscoring the urgency for effective epid...

Dec 2024 39700518
Deep learning-based design and experimental validation of a medicine-like human antibody library.

Antibody generation requires the use of one or more time-consuming methods, namely animal immunizati...

Nov 2024 39851074
Attention-aware differential learning for predicting peptide-MHC class I binding and T cell receptor recognition.

The identification of neoantigens is crucial for advancing vaccines, diagnostics, and immunotherapie...

Nov 2024 39883517
Privacy-Preserving Video Anomaly Detection: A Survey

Video Anomaly Detection (VAD) aims to automatically analyze spatiotemporal patterns in surveillanc...

Integrating Contact Tracing Data to Enhance Outbreak Phylodynamic Inference: A Deep Learning Approach.

Phylodynamics is central to understanding infectious disease dynamics through the integration of gen...

Nov 2024 39497507
Development of CODO: A Comprehensive Tool for COVID-19 Data Representation, Analysis, and Visualization

Artificial intelligence (AI) has become indispensable for managing and processing the vast amounts...

Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources

Infectious diseases occur when pathogens from other individuals or animals infect a person, result...

Machine learning-based individualized survival prediction model for prognosis in osteosarcoma: Data from the SEER database.

Patient outcomes of osteosarcoma vary because of tumor heterogeneity and treatment strategies. This ...

Sep 2024 39331900
Provable Performance Guarantees of Copy Detection Patterns

Copy Detection Patterns (CDPs) are crucial elements in modern security applications, playing a vit...

Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders.

The COVID-19 pandemic is marked by the successive emergence of new SARS-CoV-2 variants, lineages, an...

Sep 2024 39446192
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