At MSToronto 2026, investigators applied machine learning to health records, retinal scans, and blood samples to flag multiple sclerosis and neuromyelitis optica spectrum disorder years before diagnosis or disability worsening, and identified the symptoms and conditions that tend to come first. Machine learning models applied to electronic health records (EHRs), retinal imaging, and blood samples

At MSToronto 2026, researchers showed deep learning models that extract more from routine MRI scans than volume measures alone, and clinicians described uses beyond imaging, but speakers warned that most published MS models have never been tested outside the center that built them. Artificial intelligence (AI) has moved quickly into multiple sclerosis (MS) research, with

Feature | Articles | October 27, 2026 Atomic spectroscopy has quietly gone from counting elements in bulk to counting single nanoparticles, imaging tissue at the micrometer scale, and reading Martian rocks from several meters away. The instruments got smaller, the software got smarter, and the questions they can now answer got a lot more interesting.

Written by Coursera Staff • Updated on Oct 28, 2026 Learn more about federated learning, a decentralized approach to machine learning, and how it ensures data privacy. Explore the working mechanism of federated learning, its use cases, and common implementation challenges. Key takeaways Federated learning is a distributed machine learning approach in which decentralized devices

Deep Reasoning AI and Innolitics Achieve FDA 510(k) Clearance for NeuroDR, AI Software for Neurovascular CT Angiography Fully automated software turns head and neck CTA scans into 3D and curved planar views of the arteries that supply the brain, cleared 105 days after submission Deep Reasoning AI Inc., a company founded by Cornell University artificial

Epic's EULA will be changing in the future as the company works to remove restrictions on training AI off the outputs from Unreal Engine and Metahuman, according to a post on X (formerly Twitter) from Epic CEO Tim Sweeney . On October 26, video game outlet Kotaku published a piece in which the site called

David Sussillo, a computational neuroscientist who has spent almost two decades working at Google Brain and Meta Reality Labs, along with an academic appointment at Stanford University, has had a unique vantage point to view the changing relationship between neuroscience and artificial intelligence (AI). Sussillo talked to The Transmitter about the two fields’ historical roots

Shutterstock / Futurism Whether you use AI in your personal life or not, there is no longer any escaping the grasp of the industry’s tendrils. There are multiple trillions of dollars now resting on AI’s success, much of it bound up in speculative debt. As everybody knows, debt is only an issue if you can’t