Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...
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 ...
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...
Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...
Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...
Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...
Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...
A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...