In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction ... model output. The model selects relevant features using the recursive ...

To develop their model, the researchers used a machine learning algorithm ... realized they could also use them to look for genetic variants associated with heart disease. The traditional method ...

A new study unveils a new, machine-learning derived model that can predict ... heart failure. We hope this work highlights ways to intervene -- both through lifestyle changes and through the use ...

Scripps Research study combines AI, genomics, and health records to create personalized heart attack risk predictions. ABC ...

This can expand the ability to test how different environmental or genetic factors affect heart aging or pathology. Melkani envisions using ... the machine learning approach can predict cardiac aging ...

To analyse the data, the researchers developed three predictive machine learning models. The first, a clinical model ... the use of artificial intelligence methods for integrating multimodality ...

They say their method could be used to predict future ... humans and the machine-learning model “This is notable as these are the individuals with the greatest extent of disease and highest ...

Drosophila -- known as fruit flies -- are a valuable model ... more of the heart region, using deep learning and high-speed video microscopy for each heartbeat in the fly. "Our machine learning ...