Multiple sclerosis (MS) may follow two distinct biological paths that differ in how early and how quickly nerve damage develops, according to a new study. Using artificial intelligence (AI) to analyze brain MRI scans together with a blood test linked to nerve damage, researchers identified one MS pattern marked…
AI
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 (AI)-powered algorithms to analyze data collected on a smartphone app could predict whether a person with multiple sclerosis (MS) will experience certain high-severity symptoms in the next three months, a study shows. The scientists believe this will help empower patients to better understand their disease and…
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…
Using a simple algorithm to recommend highly effective disease-modifying therapies (DMTs) for people with multiple sclerosis (MS) can help make treatment fairer for all patients, and level inequalities otherwise defined by race or ethnicity, a new study by U.S. researchers suggests. Indeed, use of the algorithm over a…
Tech company Century Health has entered into a partnership to organize and clean Nira Medical‘s datasets from more than 3,000 people with multiple sclerosis (MS) to help make clinical data more available for researchers to explore insights toward developing new treatments. “We’re thrilled to partner with Nira…
The U.S. Food and Drug Administration (FDA) has cleared an extended version of Neurophet Aqua, an MRI analysis software that uses artificial intelligence (AI) to measure disease-related changes in brain scans. Earlier clearance enabled Neurophet‘s software to analyze brain atrophy using T1-weighed MRI scans in people with neurodegenerative conditions.
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…
Three innovative projects aimed at addressing unmet needs in multiple sclerosis (MS) and fostering new perspectives on the disease have received incubator grants from the nonprofit MS Australia. Totaling AU$74,813 (or about $48,700), the grants will support one-year projects that focus on MS social needs, disease biomarkers, and…
A machine learning algorithm may be able to accurately predict whether or not people with multiple sclerosis (MS) will experience a worsening of disability in the near term — which may help tailor treatment decisions and improve patient quality of life — according to the findings of a new…
Using machine learning to analyze eye scans can help detect slight changes that may be early signs of multiple sclerosis (MS), potentially aiding in early diagnosis of the disease, a study found. The study, “SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance…
The Australian government’s Medical Research Future Fund (MRFF) has awarded AU$2.9 million (about $1.96 million) to support a project focused on developing artificial intelligence (AI) precision medicine strategies for multiple sclerosis (MS). The project will be conducted by a team of investigators that will include neurologists, neuroradiologists, and data…
Microscopic connections between brain cells vary based on biological sex, according to a new study that used machine learning to analyze MRI data from hundreds of healthy volunteers. Researchers said the findings may help explain why neurological disorders such as multiple sclerosis (MS) frequently vary according to sex. “Our…
A new machine learning model is able to predict the risk of converting from clinically isolated syndrome, or a first event of multiple sclerosis (MS)-like symptoms, to clinically definite disease, a study found. “Our study developed a machine-learning model that not only provides a numerical estimate of the…
When presented with medical information authored by neurologists or by ChatGPT, people with multiple sclerosis (MS) reported similar satisfaction with both, but said the artificial intelligence platform was more empathetic. That’s the result of the study, “ChatGPT vs. neurologists: a cross-sectional study investigating preference, satisfaction ratings…
DeepSTI, a new artificial intelligence or AI-assisted MRI algorithm, can generate high-resolution, 3D images of the brain from only one head orientation. This new technology may allow clinicians to use fewer scans to visualize changes in the brain caused by neurological diseases, such as multiple sclerosis (MS), a study…
Pixyl.Neuro, a next-generation software that uses artificial intelligence (AI) in analyzing MRI scans to help detect and monitor multiple sclerosis (MS) disease activity, has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for clinical use. 510(k) clearance is required for medical devices used in the…
InSilicoTrials (IST) has received this year’s Innovation Radar Prize for its efforts to harness artificial intelligence (AI) to advance clinical trials and predictive technologies that may benefit people with multiple sclerosis (MS) and other diseases. Launched in 2015 by the European Commission, the award recognizes European Union (EU)-funded…
Welcome to “MS News Notes,” a column where I comment on multiple sclerosis (MS) news stories that caught my eye last week. Here’s a look at what’s been happening: Lemtrada or stem cell transplant? While the U.S. Food and Drug Administration has not yet approved stem cell transplants…
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…
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…
Swoop, a consumer health data company, is launching a first of its kind algorithm that’s designed to predict treatment adherence in people with multiple sclerosis (MS) or other conditions. The aim of the new algorithm — which is based on artificial intelligence (AI) and machine learning (ML) strategies…
A test that assesses the levels of 18 proteins in the blood and uses artificial intelligence algorithms can help to measure the level of new disease activity in multiple sclerosis (MS), according to a new study. The test, developed by …
Welcome to “MS News Notes,” a column where I comment on multiple sclerosis (MS) news stories that caught my eye last week. Here’s a look at what’s been happening: Could MS be predicted by an artificial intelligence tool? Wouldn’t it be great if there was a way to predict…
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…
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…