October 20, 2023 News by Marisa Wexler, MS Machine learning used to estimate when brain shrinkage begins Brain atrophy (shrinkage) in people with multiple sclerosis (MS) begins on average more than five years before disease symptoms appear, according to a new study based on machine learning models. “Although the onset of progressive brain tissue loss measured by MRI is not synonymous with the true biological…
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 22, 2022 Columns by Ed Tobias MS News That Caught My Eye Last Week: PBA, Pregnancy, Interferon-beta, Pediatric MS Test Early Detection of Pseudobulbar Affect May Help Ease MS Symptom I often see posts on social media from people with MS asking if crying for no reason is an MS symptom, because it happens to them. I didn’t know that apparently, it is. Laughing, too. This report says…
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…
July 27, 2022 News by Marisa Wexler, MS Novel Machine Learning Technique May Help ID Tremor Specific to MS A new machine learning strategy was able to differentiate tremor specific to multiple sclerosis (MS) from tremor related to other diseases, with more than 90% accuracy, according to a new study. “The proposed method, with high classification accuracy and strong correlations of [tremor] features to clinical outcomes, has clearly…
June 29, 2022 News by Lindsey Shapiro, PhD 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…
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…
February 24, 2022 News by Marisa Wexler, MS #ACTRIMS2022 ā Machine Learning Helps Predict Treatment Response in PPMS Machine learning ā using computer algorithms ā can be used to identify people with primary progressive multiple sclerosis (PPMS) who are more likely to respond to treatment, a new study shows. The ability to predict treatment response could allow clinical trials to be designed more efficiently, researchers said. Jean-Pierre…
February 18, 2022 News by Steve Bryson, PhD ‘Cellular Big Bang’ Reveals Immune Driver in Study of Twins An increased production of CD25 ā an immune receptor that regulates T-cell proliferation and activation ā 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…
January 10, 2022 Columns by Ed Tobias MS News That Caught My Eye Last Week: Lemtrada, Music and White Matter, Diagnosing MS AB Science OKād to Start Masitinib Phase 3 Trial for Progressive MS Many of us with multiple sclerosis (MS) have been waiting for another treatment for progressive forms of MS. I hope this brings us another step closer to one. Masitinib is an oral medication that works by blocking…
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…
December 20, 2021 News by Vanda Pinto, PhD 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 wearableĀ āphybrata”…
March 31, 2021 News by Marisa Wexler, MS Machine Learning of Walking Patterns Could Help Predict MS Progression A machine learning-based method that examines walking abnormalities in people with multiple sclerosis (MS) could help identify patients who are at high risk of worsening symptoms, a study suggests. The study, “Predicting Multiple Sclerosis from Gait Dynamics Using an Instrumented Treadmill ā A Machine Learning Approach,”…
September 4, 2020 Columns by Ed Tobias Amazon’s Halo Judges Your Stress by Listening to Your Voice You’re stressed, and Halo may know it. Halo is a new Amazon service the company says can judge how stressed you are, in part by the tone of your voice. The service uses a wristband that connects to a mobile app. A small sensor in the band monitors temperature, heart…
September 4, 2020 News by Marta Figueiredo, PhD #MSVirtual2020 ā Meeting Focus Is on Advances in MS Research, Diagnostics, and Technology The upcoming MSVirtual2020 meeting, the largest international conference dedicated to multiple sclerosisĀ (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…
July 22, 2020 News by Marta Figueiredo, PhD Way of Identifying Neurons Essential to Walking, Other Abilities Found Researchers developed a way of using machine learning to identify those cells most important for a given function or task, such as movement, and for evaluating how they respond to potentially restorative treatments. Using Augur, as this method is called, the team was able to identify the neural circuits in…
July 13, 2020 News by Joana Carvalho, PhD University of Sydney Awarded AU$7.1M in Pursuit of Better MS, Mental Health Treatment The Australian Governmentās Medical Research Future Fund (MRFF) has awarded AU$7.1 million (about $4.95 million) to support two projects focused on harnessing the power of artificial intelligence (AI) and machine learning to develop new ways of diagnosing and treatingĀ multiple sclerosis (MS) and mental health disorders in young people.
March 2, 2020 News by Ana Pena PhD #ACTRIMS2020 – CorTechs Says AI Models May Improve Early MS Diagnosis CorTechs Labs presented new data indicating that machine learning models based on magnetic resonance imaging (MRI) of the brain may aid in the early diagnosis of multiple sclerosis (MS). Company representatives, joined by other experts, also released updated recommendations for a standardized…
December 9, 2019 News by Iqra Mumal, MSc Artificial Intelligence and Machine Learning May Help in Understanding MS Cause, Groups Say Combining data science, artificial intelligence (AI), and machine learning to better identify patterns that may underlie the cause or causes of multiple sclerosis (MS) is the focus of a novel partnership. Despite numerous advances in MS research and treatments, what causes the disease is still unknown. “Given the complexity…
May 3, 2019 News by Marisa Wexler, MS #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 theĀ American Academy of Neurology’s 2019 annual meetingĀ May 4ā10, in Philadelphia, Pennsylvania. The prototype is called PIN Population Data Platform. It has been…
April 15, 2019 News by Marisa Wexler, MS Web Portal That Detects Cognitive Changes via Language Tests Detailed in Study A new web portal called Talk2Me that detects early changes in language could help doctors diagnose or determine progression in neurodegenerative disorders likeĀ multiple sclerosis (MS), the scientists who created it suggest. The open platform portal, whichĀ gathers language data through an array of cognitive tasks performed…
January 23, 2019 News by Jonathan Grinstein Novartis, Oxfordās Big Data Institute Team to Better Understand, Treat Complex Diseases NovartisĀ and the University of Oxfordās Big Data Institute (BDI) have established an alliance to advance the use of medical data for spotting disease patterns and assessing patients’ responses to treatment. The initiative seeks to enable more informed clinical decision-making and improve the development of treatments for complex diseases.
July 26, 2018 News by Iqra Mumal, MSc Machine Learning Platform Can Accurately Predict Onset of MS, Maker Says IQuity, a data analytics company, announced the launch of an analytics platform that uses machine learning to predict, identify, and monitor chronic disease within large populations of patients, including multiple sclerosis (MS). The platform was validated using a pilot study that assessed the healthcare claims of 20 million people…