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 ...

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 ...

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 ...