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Replacing research animals with tools that better mimic human biology could improve medicine.

By Rachel Nuwer

When it came time for Itzy Morales Pantoja to start her Ph.D. in cellular and molecular medicine, she chose a laboratory that used stem cells—not only animals—for its research. Morales Pantoja had just spent two years studying multiple sclerosis in mouse models. As an undergraduate, she’d been responsible for ­giving the animals painful injections to induce the disease and then observing as they lost their ability to move. She did her best to treat the mice gently, but she knew they were ­suffering. “As soon as I got close to them, they’d start peeing—a sign of stress,” she says. “They knew what was coming.”

A multi-university research team co-led by University of Virginia engineering professor Gustavo K. Rohde has developed a system that can spot genetic markers of autism in brain images with 89 to 95% accuracy.

Their findings suggest that doctors may one day see, classify and treat autism and related neurological conditions with this method, without having to rely on or wait for behavioral cues. And that means this truly personalized medicine could result in earlier interventions.

“Autism is traditionally diagnosed behaviorally but has a strong genetic basis. A genetics-first approach could transform understanding and treatment of autism,” the researchers wrote in a paper published in the journal Science Advances.

A long-running research endeavor reveals key chemical players that cement memories in place—and still more have yet to be discovered.

By Simon Makin

The persistence of memory is crucial to our sense of identity, and without it, there would be no learning, for us or any other animal. It’s little wonder, then, that some researchers have called how the brain stores memories the most fundamental question in neuroscience.

Researchers at the École Polytechnique Fédérale de Lausanne (EPFL) have developed a revolutionary miniaturized brain-machine interface (MiBMI) that converts brain activity directly into text. This breakthrough technology, housed on silicon chips with a total area of just 8mm², marks a significant advancement in brain-computer interface technology.

The study, published in the IEEE Journal of Solid-State Circuits and presented at the International Solid-State Circuits Conference, highlights a device that could dramatically improve communication for individuals with severe motor impairments.