Machine Learning Could Improve Ability to Assess Effectiveness of Brain Disease Studies
Machine learning methods could improve the ability of clinical trials to detect if treatments targeting the brain — such as for Angelman syndrome — are effective, as these methods are more sensitive to change than traditional statistical tests, say researchers from University College London. Such methods could solve the problem…