Using machine learning, the researchers found a number of proteins that could predict disease progression. "Having a panel consisting of only 11 proteins makes it easy should anyone want to develop ...

Please provide your email address to receive an email when new articles are posted on . A machine-learning model produced 46,644 estimated scores on a disability scale from 3,404 scores. Application ...

Please provide your email address to receive an email when new articles are posted on . The model predicted a 12.6% average risk for recurrent disease activity among DMT discontinuers. The model’s AUC ...

Monitoring the progression of multiple sclerosis-related gait issues can be challenging in adults over 50 years old, requiring a clinician to differentiate between problems related to MS and other age ...

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...

“Typically, researchers using machine learning to examine correlations between metabolites and disease reduce the number of chemical features first, before they feed it into the algorithm,” said ...