Skip to main content
  1. Home
  2. Emerging Tech
  3. News

Scientists create tiny brain-scanning implants that dissolve completely after use

Add as a preferred source on Google

Brain activity is an important part of medical testing and diagnostics, but it isn’t always easy to measure. Complicated rigs and expensive machinery make ongoing brain monitoring unrealistic and inconvenient. On the other hand, temporary tech implants that record data while in the brain require added rounds of surgery to both implant and remove the tech. That’s why a team of neurosurgeons are developing tiny implant technology that can record brain activity for short periods of time, and then dissolve completely into the organic matter they are monitoring.

The team is composed of scientists at the Washington University School of Medicine in St. Louis, and engineers at the University of Illinois at Urbana-Champaign. Each device needed to be minuscule in size, but also needed to pack in enough electric monitoring equipment to measure brain activity accurately. The sensors are composed mostly of polylactic-co-glycolic acid (PLGA) and silicone, which are the materials that allow the chips to dissolve after use. The devices made of these materials also transmit pressure and temperature readings, record vital signs, and store other brain activity measurements.

Recommended Videos

Pressure and temperature are key readings in the kind of brain monitoring that this device will eventually be able to perform. Patients with traumatic brain injuries don’t always show physical symptoms of internal damage. But pressure and temperature can be important indicators in identifying traumatic injuries before often fatal symptoms start to manifest. These devices are both small enough and accurate enough to be implanted in the brain for reliable monitoring, and their ability to dissolve safely and disappear from a patient’s system is hugely promising.

Doing away with the expensive equipment and the limited facilities of hardwired brain monitoring could be revolutionary for these kinds of traumatic injury patients. Testing so far has only taken place in a lab setting, dissolving the tech chips in a saline solution bath before implanting them in the brains of lab rats. In both cases, the sensors worked accurately and reliably until dissolving safely into their surroundings. Following the success of those preliminary tests, scientists are now prepared to implant the sensors in human patients for testing.

Chloe Olewitz
Former Digital Trends Contributor
Chloe is a writer from New York with a passion for technology, travel, and playing devil's advocate. You can find out more…
Yet another study says AI is bad for elections, and the rabbit hole gets worse
AI may be an election bomb waiting for someone to light the fuse
Voters cast their ballots on Election Day

Another election, another study has concluded that asking an AI chatbot for political guidance is a spectacularly bad idea. Research conducted during Hungary’s 2026 parliamentary election found that ChatGPT and Google Gemini offered not just inaccurate but also inconsistent and unreliable voting advice. The chatbots misclassified voter profiles, overlooked relevant parties, recommended parties absent from the ballot, and sometimes produced materially different answers when given the same information repeatedly.

AI keeps failing the voter test

Read more
Samsung’s humanoid robot ambitions are real, but factories come first
Samsung’s new robotics division has humanoids in its sights, although its immediate business is far more practical factory automation
Robot Touch Human Finger

Samsung wants a place in the humanoid race, but its new robotics push begins with machines built for factories rather than homes.

The CEO-led RX robotics division will initially focus on manufacturing robots. Samsung has separately identified humanoids as a priority, although it hasn’t announced a commercial model or explained where one fits into the division’s immediate plans.

Read more
The future of AI may depend on this one behind-the-scenes change
Running Claude on Android.

Whenever a new AI model arrives, it's easy to get caught up in the bells and whistles. We talk about how much smarter it is, how quickly it answers questions, or how realistic its images have become. But here's the thing: none of that matters much if the AI can't reliably work with the apps and services people use every day.

That's why an upcoming update to the Model Context Protocol (MCP) caught my attention. It isn't a new chatbot or a fancy AI model. In fact, most people will never even know it's happening. But it could quietly make the AI ecosystem a lot healthier. If you've never heard of MCP before, don't worry. Think of it as a shared language that lets AI assistants safely talk to apps like Gmail, Slack, calendars, databases, and countless other services. Instead of every company inventing its own way to make those connections, MCP gives everyone a common rulebook.

Read more