Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

A new, ultra-thin metasurface is making waves in the world of optics by defying the traditional behavior of light. By ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...

Engineered DNA can store massive amounts of data while also encrypting it, opening the door to ultra-secure, long-term ...

Across neuroscience, biomedical engineering and artificial intelligence, researchers from Carnegie Mellon University are exploring how pain is measured, understood and treated to support safer, more ...

Overview: AI is transforming patient care by analyzing vast medical data to personalize treatments.From diagnostics to ...

In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific researchers, including at ...

When scientists sequence tumor DNA, they typically find small amounts of genetic code from bacteria, viruses and fungi—microorganisms that—if actually present in tumor tissues—could influence how they ...

This moment of revelation is common to many people who don’t form mental images. They report that they might never have ...

Do microorganisms truly reside in tumors, or do the samples become contaminated before sequencing occurs? A new computational ...