Discover how artificial intelligence is transforming influenza vaccine development, accelerating timelines and improving ...

Abstract: Heart disease remains one of the leading causes of death worldwide. Effective management and prevention heavily depend on early detection and accurate prediction. However, traditional ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Abstract: Cardiovascular disease remains one of the leading causes of death worldwide, necessitating the development of efficient diagnostic tools. This study presents a machine learning framework for ...

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

Missense variants remain a challenge in genetic interpretation due to their subtle and context-dependent effects. While current prediction models perform well in known disease genes, generalizability ...