A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green chemical processes and carbon dioxide capture has surged. Ionic liquids (ILs) ...

1 Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China 2 Department of Pediatric Cardiology, Guangzhou Women and Children’s Medical Center, Guangzhou ...

The ML model stratifies HCC patients by mortality risk, guiding treatment decisions between liver transplantation and surgical resection. The model demonstrated improved survival outcomes, with a 54% ...

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process ...

Abstract: Cloud detection is a crucial preliminary step for assimilating meteorological satellite observation and retrieving other atmospheric parameters. This article presents an explainable machine ...

Exciting days are ahead for Apple (NASDAQ: AAPL), as the company gears up for a new $100 billion investment in U.S. manufacturing in an attempt to ramp up domestic production and sidestep potential ...

Abstract: Federated learning is a distributed machine learning paradigm that enables collaborative model training across multiple clients without requiring data to leave the local nodes. One of the ...