December 13, 2022 News by Marisa Wexler, MS New Machine Learning Algorithm May Better Predict Severity in MS A machine learning algorithm that incorporates genetic data alongside clinical and demographic information may be able to more accurately predict the severity of multiple sclerosis (MS), according to a new study. “Once independently validated, the machine learning algorithm could enable clinicians to provide patients with more accurate prognostic information,…
August 24, 2022 News by Lindsey Shapiro, PhD Algorithm May Help Define SPMS; ‘Gold Standard’ Still Neurologist A data-driven algorithm may be useful for defining the sometimes unclear transition from relapsing-remitting (RRMS) to secondary progressive (SPMS) forms of multiple sclerosis, a study found. The study, “Towards a validated definition of the clinical transition to secondary progressive multiple sclerosis: A study from the Italian MS Register,”…
August 18, 2022 News by Margarida Maia, PhD Eye Scans May Help to Diagnose MS in Children A machine learning approach based on eye scans was employed by researchers to diagnose multiple sclerosis (MS) in children with up to 80% accuracy. Optical coherence tomography (OCT) scans also provided enough data to diagnose other demyelinating diseases with 75% accuracy. OCT is an imaging tool that uses…
March 2, 2022 News by Marisa Wexler, MS #ACTRIMS2022 ā Algorithm Predicts Relapse Risk Using EHR Data Using a two-step machine learning strategy, researchers have developed an algorithm to predict the risk of multiple sclerosis (MS) relapse based on data gleaned from electronic health records. “The two-step machine learning model predicts a patient’s future one-year MS relapse risk with clinically actionable accuracy, comparable to other clinical…
January 6, 2022 News by Marisa Wexler, MS New Machine Learning Algorithm Could Help in Diagnosing MS Sooner A new machine learning algorithm ā designed to analyze healthcare records ā could help in diagnosing multiple sclerosis (MS) sooner by identifying patients’ symptoms earlier. The algorithm, devised by scientists at the University of California San Francisco (UCSF), was described in a study titled “Embedding electronic health records…
November 28, 2018 News by Alice MelĆ£o, MSc Artificial Intelligence May Help Reduce Dosage of Gadolinium in MRIs, Researchers Suggest Artificial intelligence can help reduce the amount of gadolinium used as a contrast agent in MRI (magnetic resonance imaging) scans, preventing the agent’s potential toxicity when accumulated in body tissue, including the brain and bones, each time it is used, researchers suggest. The finding is of particular importance for…