Researchers at the Icahn School of Medicine at Mount Sinai and others have harnessed the power of machine learning to identify key predictors of mortality in dementia patients. Dementia has emerged as ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

One of the most common types of cancer affecting women worldwide is breast cancer. Multiple predictors of this disease have been identified, including inherited genetic factors, reproductive factors, ...

Our eLibrary offers over 25,000 IMF publications in multiple formats. This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML ...

Machine-learning analysis identifies factors predicting T cell collection efficiency in CAR T-cell therapy for DLBCL patients. Higher blood volume, not higher circulating T-cell numbers, correlates ...

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning” is reshaping how researchers explore AI, ...

With the global population aging, and rising concerns about mental health, loneliness, and social isolation, understanding and enhancing later-life satisfaction has become increasingly crucial for ...