Public Health & Policy

Artificial Intelligence for Infectious Disease Prediction and Prevention: A Comprehensive Review

Artificial Intelligence (AI) and infectious diseases prediction have recently experienced a common...

Advancing Cancer Prevention through an AI-Based Integration of Traditional and Western Medicine.

Traditional Chinese medicine has accumulated a wealth of experiences in individualized cancer preven...

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...

Core Concepts in Pharmacoepidemiology: Principled Use of Artificial Intelligence and Machine Learning in Pharmacoepidemiology and Healthcare Research.

Artificial intelligence (AI) and machine learning (ML) are important tools across many fields of hea...

Distributing Intelligence in 6G Programmable Data Planes for Effective In-Network Intrusion Prevention

The problem of attacks on new generation network infrastructures is becoming increasingly relevant...

Misconfiguration prevention and error cause detection for distributed-cloud applications

Major software failures are reported to be due to misconfiguration. As manual configuration is too...

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...

Optimization and Application of Cloud-based Deep Learning Architecture for Multi-Source Data Prediction

This study develops a cloud-based deep learning system for early prediction of diabetes, leveragin...

Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency

In a world burdened by air pollution, the integration of state-of-the-art sensor calibration techn...

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 ...

Structural causal influence (SCI) captures the forces of social inequality in models of disease dynamics

Mathematical modelling has served a central role in studying how infectious disease transmission m...

[Progress in application of machine learning in epidemiology].

Population based health data collection and analysis are important in epidemiological research. In r...

Bayesian estimation of transmission networks for infectious diseases

Reconstructing transmission networks is essential for identifying key factors like superspreaders ...

Deep Learning-Based Prediction of Daily COVID-19 Cases Using X (Twitter) Data.

Due to the importance of COVID-19 control, innovative methods for predicting cases using social netw...

Healthcare LLMs Go to Market: A Realist Review of Product Launch News.

We provide a realist review of product launches for Large Language Models (LLMs) in the healthcare i...

A Road Map of Prompt Engineering for ChatGPT in Healthcare: A Perspective Study.

Generative AI models, such as ChatGPT, have significantly impacted healthcare through the strategic ...

Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory

Privacy research has attracted wide attention as individuals worry that their private data can be ...

Decentralized Health Intelligence Network (DHIN)

Decentralized Health Intelligence Network (DHIN) extends the Decentralized Intelligence Network (D...

Reducing Urban Speed Limits Decreases Work-Related Traffic Injury Severity: Evidence from Santiago, Chile

Work-related transportation incidents significantly impact urban mobility and productivity. These ...

How Should Medicare Pay for Artificial Intelligence?