Skip to main content
  1. Home
  2. Emerging Tech
  3. Health & Fitness
  4. News

IBM's "lab-on-a-chip" breakthrough brings ammo to the fight against cancer

Add as a preferred source on Google

Big things are happening on a nanoscale at IBM, where researchers have just developed a new lab-on-a-chip (LOC) technology that may help revolutionize how doctors diagnose diseases, particularly cancer.

A team of researchers led by scientists Joshua Smith and Benjamin Wunsch reported the separation of particles down to 20 nanometers in diameter — a research first that may enable them to analyze particles as small as DNA and viruses. They published their report this week in the journal Nature Nanotechnology.

Recommended Videos

LOCs are decades-old devices designed to cram the analytical capabilities of a full-scale biochemistry laboratory onto a single silicon chip. And although these compact chips are still largely stuck inresearch and development, it’s thought that they’ll one day offer cheaper, faster, and more energy-efficient disease diagnoses than their larger counterparts.

“Most diagnostics require a huge biochemistry lab in order to process a sample,” Smith, an IBM Researcher in the Nanobiotechnology Group, told Digital Trends. He likened the discovery of early-onset disease to finding a needle in a haystack.

“What we’ve done is taken that process down to the scale of a chip,” he said, with a technology that may make the analytic capabilities of a full-scale lab available within a clinic.

In their paper, the researchers targeted the separation of small vesicles called exosomes, which have become a focus of medical research.

“Traditionally, people considered exosomes as garbage cans of unwanted cellular material that were excreted by cells,” Smith said. “In time, scientists have acknowledged that exosomes carry important genetic cargo such as DNA, RNA, surface proteins, and other biomarkers that are transported between cells.”

Exosomes are abundant within the body as well. And, since cancer cells shed so rapidly, exosomes offer oncologists unique insight.

“Therefore, by having a less invasive and cheap way of separating out exosomes for analysis, our lab-on-a-chip technology can give physicians a view into the origin of a cancer or if a cancer has metastasized before physical symptoms appear in the patient,’ Smith added.

Although the paper focused exclusively on exosomes, Smith suggests the ability to detect particles at this scale paves the way for detection of nanoscale bioparticles, such as viruses and nucleic acids.

The researchers still have a number of engineering obstacles to overcome until they can refine and scale the LOC technology. They’re currently working with scientists from Mount Sinai Hospital in New York City to confirm that their LOCs can detect specific cancer biomakers, with the hope that the chips can one day add to oncologists’ arsenal in their fight against cancer.

Dyllan Furness
Former Contributor
Dyllan Furness is a freelance writer from Florida. He covers strange science and emerging tech for Digital Trends, focusing…
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
The AI game-dev boom has a dark side: fewer jobs for the people starting out
Solo creators are thriving with tools like Claude Code and Copilot, but entry-level game roles are disappearing.
Man playing a video game on a desktop with glowing red and blue lights

AI is making it easier than ever for a single person to build a game. That sounds like a win for creativity, and in many ways, it absolutely is. But there is a catch. As generative AI tools help solo developers and small studios do more with fewer people, the same shift is making life tougher for writers, artists, concept creators, and junior programmers trying to break into the gaming industry.

AI is giving solo developers superpowers

Read more