machine learning

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,…

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…

OM1 Develops Algorithm to Estimate EDSS Scores

OM1 has created an artificial intelligence (AI)-based algorithm to estimate scores on the expanded disability status scale (EDSS), an established method for evaluating disability and disease progression in people with multiple sclerosis (MS). The algorithm, using a method called machine learning, was trained to estimate EDSS scores…

#ACTRIMS2022 – 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…

‘Cellular Big Bang’ Reveals Immune Driver in Study of Twins

An increased production of CD25 – an immune receptor that regulates T-cell proliferation and activation – is the most noticeable blood cell immune alteration in people with multiple sclerosis (MS) compared with their unaffected identical twins, a study discovered. The increased CD25 levels, which correlated with disease severity, were…

New Machine Learning Algorithm Could Help in Diagnosing MS Sooner

A new machine learning algorithm — designed to analyze healthcare records — 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…

Protxx, University Join to Study Sensor in Identifying MS Biomarkers

Protxx and the University of Victoria are partnering to explore digital biomarkers for multiple sclerosis (MS) that may improve monitoring of disease progression, and facilitate more personalized care and a better quality of life. The digital biomarkers are based on motion vibrations picked up by Protxx’s wearable “phybrata”…

#MSVirtual2020 – Meeting Focus Is on Advances in MS Research, Diagnostics, and Technology

The upcoming MSVirtual2020 meeting, the largest international conference dedicated to multiple sclerosis (MS) research, will focus on advances and breakthroughs made in MS causes and risk factors, diagnostic tools, treatment response biomarkers, technology, and therapies and interventions. The 8th joint meeting of the Americas Committee for Treatment and…

#AANAM – Precision Innovative Network and Splice Machine Will Present Predictive Healthcare Application at AAN Meeting

A new clinical application prototype that uses machine learning to help physicians predict the best treatment options for patients with multiple sclerosis (MS) will be unveiled at the American Academy of Neurology’s 2019 annual meeting May 4–10, in Philadelphia, Pennsylvania. The prototype is called PIN Population Data Platform. It has been…