The researchers generated 500 molecules by maximizing and decreasing the learned scoring function using the pre-trained SMILES-based Long ... the latent score machine-learning algorithm ...

A new risk score based on machine learning shows promise in predicting death, MI, and bleeding following an ACS event, potentially allowing clinicians to better individualize care. The score, called ...

A score derived from machine learning that included information from stress cardiac magnetic resonance effectively predicted 10-year all-cause death in patients with known or suspected CAD ...

Key takeaways: A machine learning model processed data from more than 32,000 records, 96,000 encounters of those with MDD. Application of the model created an exponential amount of PHQ-9 scores ...