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![WEST PALM BEACH, Fla. — Application of a machine learning model to databases of patients with multiple sclerosis expanded understanding of disease progression, according to a poster at ACTRIMS 2024.“The [Expanded Disability Status Score] is a critical endpoint in clinical trials, but in the real world it’s not routinely collected,” Carl D. Marci, MD, managing director of](/_next/image/?url=https%3A%2F%2Fimages.ctfassets.net%2Fddhe5ahaolzf%2F4REDjTfHWo8BdGhY9fL7m0%2F5ea3f642f251fdeb7a094009955985dc%2Fmachine-learning-ai213593664.jpg&w=3840&q=75)












![MIAMI BEACH, Fla. — A novel machine learning model accurately estimated scores from a depression questionnaire from complete and partial clinical notes, per a poster at the American Society of Clinical Psychopharmacology annual meeting.“In the real world, there’s a lot of missing data and [Patient Health Questionnaire-9] scores are commonly used and patients record them, but not](/_next/image/?url=https%3A%2F%2Fimages.ctfassets.net%2Fddhe5ahaolzf%2F2wrdaT8JqEIhQnO9DOVyde%2Fc04bff599118eda62ea91d22920aeb7e%2Fdoctor-at-computer_2020.jpg&w=3840&q=75)





















