Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

The study "Seasonal forecasting of European heat waves using a feature selection framework," published in Communications Earth & Environment, demonstrates how machine learning (ML) and artificial ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...