Implementing AI in healthcare isn’t just about choosing the right tools—it’s about making them work in the real world.

Abstract: Hierarchical federated learning (HFL) is a privacy-preserving distributed machine learning framework with a client-edge-cloud hierarchy, where multiple edge servers perform partial model ...

Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...

This important study introduces a Bayesian method to determine bacterial counts that accounts for the experimental noise inherent to dilution and plating methods, and distinguishes it from biological ...

For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills.

The authors provide solid evidence of its utility by benchmarking multiple demultiplexing methods and proposing a new variant consistency metric. While the tool is valuable for guiding method ...

Abstract: Programming knowledge tracing (programming KT) aims to analyze the dynamic programming states in solving problems based on historical behaviors and predict future performance. In programming ...

Efforts to remove, restructure, or completely eliminate public health information from federal websites undermine the ...