A multicenter study in Spain developed a new predictive model for surgical risk in patients with cirrhosis that may improve ...

Survival of patients with secondary acute myeloid leukemia (sAML) in Hodgkin Lymphoma (HL): A Surveillance Epidemiology and End Results (SEER) database study. This is an ASCO Meeting Abstract from the ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...

As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the flood season has become increasingly critical. Current predictions for ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

A newly operational model, known as the Artificial Intelligence Forecasting System (AIFS), has been launched by the European Centre for Medium-Range Weather Forecasts (ECMWF), an intergovernmental ...

Technology has transformed many industries over the past decade, and football analysis is no exception. The way supporters evaluate matches has evolved dramatically as access to performance data has ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.