Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

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 ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

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 ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

Researchers used AI and deep learning to find a link between brain structure and navigation skills but found no measurable ...