A new artificial intelligence (AI) algorithm could help identify people at risk of developing multiple sclerosis (MS). “Our model’s performance suggests that AI-based prediction models could identify the risk for multiple sclerosis years before neurological symptoms appear,” Raj Gopalan, MD, a scientist at Siemens Healthineers, Tarrytown, New York, said…
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A European Union (EU) initiative is bringing scientists together to develop an artificial intelligence (AI)-based platform that could help in predicting the course of multiple sclerosis (MS) for each person. The consortium’s project, which aims to “offer clinicians a holistic overview of the MS patient” — from disease…
Researchers have developed computer algorithms that may be able to predict certain aspects of cognitive change in multiple sclerosis (MS) patients. The prediction models, constructed using data from an electronic, self-administered test of information processing speed given MS patients, might accurately identify those likely to experience cognitive worsening over…
The biopharmaceutical company Imcyse has signed on to a new project that aims to use artificial intelligence (AI) to develop tools that can be used to better track the progression of multiple sclerosis (MS). The project’s goal is to help guide treatment decisions for MS patients. Called Clinical…
The artificial intelligence (AI)-driven platform BeCare Link has introduced a mobile application to help multiple sclerosis (MS) patients be more active in their care and ensure clinicians have the data to treat them. BeCare MS Link, the platform’s first subspecialty product, is touted as the most comprehensive…
Is artificial intelligence (AI) intelligent enough to help make a diagnosis of multiple sclerosis (MS)? Apparently so, and more. In the United Kingdom, a project named AssistMS is studying whether AI can be used to detect and highlight changes on brain MRIs. An algorithm software called…
Welcome to “MS News Notes,” a Monday morning column in which I comment on multiple sclerosis (MS) news stories that caught my eye last week. Here’s a look at what’s been happening: A different type of stem cell transplant When stem cell transplant is mentioned to treat someone…
An upcoming study will investigate how well icobrain MS, an artificial intelligence (AI)-based technology, can interpret MRI data from people with multiple sclerosis (MS) and how its use might influence patient care. The project, called AssistMS and led by Icometrix — the technology’s developer — and Queen Mary University of London…
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,…
Tevogen Bio has announced plans to develop T-cell therapies targeting the Epstein-Barr virus (EBV), a herpes virus known to be a major environmental risk factor for multiple sclerosis (MS). The decision comes on the heels of positive safety data from a proof-of-concept Phase 1 Tevogen trial that…
Welcome to “MS News Notes,” where I comment on multiple sclerosis (MS) news stories that caught my eye last week. Here’s a look at what’s been happening: A medication that may ease sexual problems for women with MS Sexual dysfunction is common among people with MS, affecting up…
Insurer Fountain Health now will fully cover Combinostics’ artificial intelligence (AI)-based tools to support the early detection, differential diagnosis, and prediction of progression in patients with neurodegenerative disorders such as multiple sclerosis (MS). The decision to cover the company’s cloud-based AI platforms, cMRI and cDSI,…
Bionic clothing innovator Cionic has received $12.5 million to further develop a platform that produces wearable, artificial intelligence-powered garments for people with mobility issues. The platform has helped create the Neural Sleeve, a leg-worn garment that enables people with conditions such as multiple sclerosis (MS) to become more…
A new machine learning tool could help make clinical trials for progressive forms of multiple sclerosis (MS) more efficient and effective, a study suggests. Its scientists propose that the tool, when used in initial patient studies, works to more rapidly move a potential progressive MS treatment into pivotal Phase…
Combining blood and imaging biomarkers might help clinicians better predict cognitive impairment in people with early multiple sclerosis (MS) than using either one alone, a new study suggests. Researchers found that using the two together worked better to predict information processing speed than did either blood or MRI biomarkers…
Cionic has collaborated with the multidisciplinary design firm fuseproject to further develop its artificial intelligence-powered, wearable Neural Sleeve, which improves mobility for those living with conditions such as multiple sclerosis (MS). The partnership with Yves Behar and his firm fuseproject resulted in a design that focuses on…
Calyx and Qynapse have joined forces to expand the use of artificial intelligence (AI)-based neuroimaging tools in clinical trials of treatment candidates for conditions affecting the central nervous system (CNS), or the brain and spinal cord. This is expected to help advance therapy development for multiple sclerosis…
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…
Rune Labs has partnered with Coastal Research Institute (CRI) to identify new and noninvasive biomarkers of the loss of myelin, the fatty sheath surrounding nerve fibers that is progressively damaged by multiple sclerosis (MS). The collaboration involves a patient study that will take advantage of Rune Labs’…
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…
Simoa, a technology that detects relevant molecules in samples with up to 1,000 times greater sensitivity than conventional methods, has helped to advance research into a blood biomarker expected to predict future disease activity in multiple sclerosis (MS) patients. Specifically, Quanterix‘s ultra-sensitive technology allowed an international team…
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…
Machine learning — using computer algorithms — 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…
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…
A new collaboration between Arterys and Combinostics seeks to bring comprehensive artificial intelligence (AI) imaging solutions to the diagnosis and care of patients with multiple sclerosis (MS) and other neurological diseases. Under the partnership, Arterys will include Combinostics’ AI-powered cNeuro on its medical imaging cloud AI platform…
Patients’ underestimation of their own disease and the cost and side effects of disease-modifying therapies (DMTs) are among the main causes of delayed treatment initiation and non-adherence in multiple sclerosis (MS) patients, according to a report from OptimizeRx. These findings help uncover areas for improvement, which the health…
Owlytics Healthcare, in partnership with Tel-Aviv Medical Center in Israel, has taken its smartwatch — designed to monitor symptoms of multiple sclerosis (MS) from afar — through a first stage of validation. The smartwatch, worn on the wrist, collects a continuous stream of personal health data that are sent to…
Nvidia announced the launch of the U.K.’s most powerful supercomputer — called Cambridge-1 — which uses a combination of artificial intelligence (AI) and simulation to help scientists to better understand complex diseases such as multiple sclerosis (MS) and to design new therapeutics. Cambridge-1 is the first supercomputer designed…
Qynapse, a company that combines artificial intelligence with neuroimaging technology, is reaffirming its commitment to help advance multiple sclerosis (MS) research and care in recognition of World MS Day. World MS Day is officially celebrated on May 30, with global events and activities designed to raise disease awareness.
Subtle Medical announced the granting of a U.S. patent for its radiology software that uses artificial intelligence to improve the quality of medical imaging, with the potential to reduce the amount of gadolinium, a contrast agent, needed to one-tenth of its usual dose. Gadolinium, a heavy metal, is included in…