Nanoparticles could remove harmful immune molecules from blood

Nanoparticles could remove harmful immune molecules from blood
Schematic illustration of SOLIDs. The nanodegrader system contains a rigid SP core for lysosome self-sorting and a shell for target capture. Credit: Jiayan Wu. Nanyang Technological University.

Multiple sclerosis (MS) is a chronic autoimmune disorder that attacks the central nervous system. For years, Epstein-Barr virus (EBV) has been strongly linked to MS, as nearly every person diagnosed with the condition shows evidence of past EBV infection. For example, a 2022 study analyzed millions of U.S. military recruits and found that getting infected with EBV increased a person’s risk of developing MS 32-fold.

But exactly how EBV is linked to the abnormal immune response seen in MS has remained unclear until now.

In a study published in Science Translational Medicine, scientists descr...

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Hidden prompts can plant false memories in AI agents, researchers warn

Study exposes security risks of AI agents with long-term memories
Stateless LLM agents process each interaction in isolation. LLM agents with persistent memory allow for querying and retrieving saved information. Credit: Torres, Shrestha & Misra.

Large language models (LLMs), the computational algorithms underpinning ChatGPT, Gemini and other artificial intelligence (AI)-powered conversational platforms, are now widely used worldwide. These models can rapidly answer questions, source information online, assist users with specific tasks and produce text tailored for specific purposes.

Over the past few years, computer scientists have introduced a wide range of LLMs, some of which can also complete tasks autonomously and take actions on a user’s behalf, for instance, answering messages, scheduling online appointments or updating programming code...

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How the sun goes to ‘sleep’ could reveal future space weather when it wakes

Sunspots are regions of intense magnetic activity on the Sun's surface. The number of sunspots rises and falls over the Sun's approximately 11-year activity cycle and is one of the main ways astronomers track and predict solar activity.
Sunspots are regions of intense magnetic activity on the Sun’s surface. The number of sunspots rises and falls over the Sun’s approximately 11-year activity cycle and is one of the main ways astronomers track and predict solar activity.
Credit NASA/SDO Licence type Attribution (CC BY 4.0)

Scientists have developed a new way to predict the strength of the sun’s next activity cycle up to seven years before it reaches its peak.

The new method uses the number of sunspots at a newly identified “switchoff” point in the solar cycle, when the sun’s most extreme space weather suddenly comes to an end. Using this approach, researchers have made an early prediction for the strength of Solar Cycle 26.

A very early prediction shows a moderate Cycle 26 with a sunspot number of around 100–120, s...

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AI‑designed gene‑editing enzymes expand the CRISPR toolbox

AI model designs RNA-guided nucleases that surpass natural nuclease abilities, expanding CRISPR toolbox
RNA-guided nuclease TnpB design strategy with an ESM Inverse Folding (ESM-IF1) model. Credit: Science (2026). DOI: 10.1126/science.aed6123

Scientists have made many advances using traditional CRISPR technology, especially in medicine, but they are now seeking ways to create genuinely new gene-editing enzymes with properties that have not already evolved naturally. A new study, published in Science, describes a new AI-designed synthetic TnpB enzyme, called SynTnpBs, that has outperformed the natural reference enzyme.

Creating new gene editors
CRISPR tools use a programmable guide RNA to direct an enzyme to a specific target in the genome to edit (cut, insert or correct) DNA. The TnpB enzyme is a compact ancestor of certain CRISPR enzymes, called CRISPR-Cas12 enzymes...

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