Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...
A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...
Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...
Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...
This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve risk stratification.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results