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 ...

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 ...

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 ...

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 ...

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 ...

“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 ...

Now enrolling students for Fall 2020, the Drexel University Department of Electrical and Computer Engineering is proud to announce our latest innovative graduate program, the Master's of Science in ...