This is the largest real-world analysis of mycophenolic acid in pediatric lupus nephritis to date, providing a decision-support system to help balance efficacy and safety.
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
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Machine learning model predicts chemical reactions to accelerate drug discovery
Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...
Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...
Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?
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