A new model using artificial intelligence (AI) suggests that multiple sclerosis (MS) progression is better viewed along a single disease spectrum, rather than as distinct disease types — such as those now used in MS diagnosis and treatment — according to a study led by scientists in Europe. The…
artificial intelligence
A new machine learning tool, a form of artificial intelligence (AI), may accurately detect the transition from relapsing-remitting multiple sclerosis (RRMS) to secondary progressive multiple sclerosis (SPMS) — and may be able to do so even earlier than clinicians can — a new study showed. According to the…
Biostate AI is partnering with the nonprofit Accelerated Cure Project (ACP) to develop a series of artificial intelligence (AI) models that can predict multiple sclerosis (MS) progression and how patients may respond to treatment. As part of the partnership, Biostate AI will use its high-throughput technology to…
A new artificial intelligence (AI) tool called MindGlide can accurately calculate, from a single MRI scan, multiple aspects of brain damage related to multiple sclerosis (MS) — even when employed with routine scans that are not typically used to monitor such damage. The development and validation of the tool…
Artificial intelligence (AI) platforms did better than most neurologists at answering a 20-question assessment about multiple sclerosis (MS) in a recent study, suggesting that AI may be a helpful tool for MS care. Neurologists with an MS specialty scored as well, on average, as the AI platforms, while neurology…
An artificial intelligence (AI)-based tool called Muse aims to accelerate drug development by optimizing clinical trial patient recruitment. The tool, designed as part of a collaboration among Formation Bio, OpenAI, and Sanofi, is designed to be implemented across a range of areas. Sanofi will first put it…
An artificial intelligence (AI) program, called iQ-MS, outperforms traditional radiologist-based measures at quantifying changes in lesions over time in people with multiple sclerosis (MS), a new study shows. “iQ-MS is a sensitive and accurate tool for monitoring MRI scans in people with MS by providing quantitative metrics that value-add…
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…
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…
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…
With a goal of better treatment and care for people with multiple sclerosis (MS), Verana Health is developing a neurology module for disease research that includes de-identified and curated real-world data covering more than 30,000 MS patients. The digital health company is developing Qdata MS to…
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…
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…
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…
The National Institute for Health and Care Evidence (NICE) in England has issued a briefing on the use of Icometrix‘s icobrain system to assess disease activity in people with multiple sclerosis (MS) based on MRI scans. The NICE statement was in the form of a medtech innovation briefing, or…
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…
Mono as Child or Teenager Tied to Risk of MS as Adult in Large Study There’s been a lot of buzz about this study, but I don’t think anyone should be surprised about its results. For years, researchers have suspected a link between the Epstein-Barr virus (EBV) — the…
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…
OM1, a technology company focused on chronic conditions, announced that it has launched a multiple sclerosis (MS) registry to generate data that may ultimately be used to improve care and develop treatments for the disease. The OM1 registry is being touted as the largest, most representative MS data…
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…
PicnicHealth and Komodo Health have agreed to combine their databases of patient medical records to support research based on real-world evidence. Together, the companies hope to unlock new insights into complex diseases like multiple sclerosis (MS). “Komodo Health and PicnicHealth share a mission to utilize health data…
Using artificial intelligence (AI) on imaging data collected from multiple sclerosis (MS) patients, researchers were able to classify these people into three new disease subtypes, each distinct from the current groupings determined by symptoms. These new subtypes may allow doctors to better determine those patients more likely to have…
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 – A Machine Learning Approach,”…
BioLiberty, a Scottish biotech startup, has developed a robotic glove that uses artificial intelligence (AI) to improve the hand grip in people with muscle weakness due to multiple sclerosis (MS) and other conditions. The technology may be closer to entering people’s homes now that the startup has secured support…
The Israeli Innovation Authority has awarded Owlytics Healthcare a $1.3-million grant to support the company’s development of wearable artificial intelligence (AI) technology that has the potential to improve multiple sclerosis (MS) therapies and better evaluate treatment efficacy in clinical studies. The device would be able to continuously…
The Australian Government’s 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 treating multiple sclerosis (MS) and mental health disorders in young people.