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The guitar chords echo strangely, as if emanating from the bottom of a well. The singer’s voice is also garbled, his lyrics barely intelligible. Nevertheless, if you know what’s coming, the song is recognizable: “All in all, it was just a brick in the wall.” It’s a snippet of “Another Brick in the Wall (Part 1)” from the album “The Wall,” which was a smash hit in 1979 for the U.K. rock band Pink Floyd. And it was re-created from brain recordings from people who listened to it. The reconstructed tune provides new insights into where in the brain music is processed. Source: Science

Scientists have trained a computer to analyze the brain activity of someone listening to music and, based only on those neuronal patterns, recreate the song. The research produced a recognizable, if muffled version of Pink Floyd’s 1979 song, “Another Brick in the Wall (Part 1).” Before this, researchers had figured out how to use brain activity to reconstruct music with similar features to the song someone was listening to. Now, “you can actually listen to the brain and restore the music that person heard,” said Gerwin Schalk, a neuroscientist who directs a research lab in Shanghai and collected data for this study. Source: New York Times

Researchers from Washington University in St. Louis have used ultrasound to nudge rodents into an energy-conserving state that mirrors a natural, hibernation-like survival mechanism known as torpor. The technique could help buy precious time for patients in critical care.

PALISADE-X aims to provide the security necessary to study life-threatening medical issues without violating patient privacy.

Nanozymes—artificial enzymes that can carry out pre-determined chemical reactions—could selectively activate a cancer drug within a tumor while minimizing damage to healthy tissue in a mouse model of triple negative breast cancer.

New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them. Researchers designed two novel scoring systems that outperform current automated systems that evaluate the accuracy of AI narrative reports. Reliable scoring systems that accurately gauge the performance of AI models are critical for ensuring that AI continues to improve and that clinicians can trust them. Source: Harvard Medical School/Science Daily

The Interagency Modeling and Analysis Group (IMAG) celebrated its 20th year during the two-day annual IMAG Multiscale Modeling Consortium meeting in late June at the Natcher Conference Center and via virtual attendance. Source: NIH Record. 

A team of Rice University engineers has launched a first of its kind, open-source software that constructs and uses personalized computer models of how individual patients move to optimize treatments for neurologic and orthopedic mobility impairments. Source: Rice University

New recommendations from the NIH Rapid Acceleration of Diagnostics (RADx®) Tech Program provide a blueprint for the design and manufacture of more accessible diagnostic tests.