Science & Technology

Research from mechanical engineers Ruth Okamoto and Philip Bayly at the McKelvey School of Engineering finds that the brain’s vulnerability to head motion depends on the direction and frequency, not just impact strength.

Research from Rajan Chakrabarty and Rohan Mishra at the McKelvey School of Engineering reveals an unexpected impact of wildfires on climate change.

For decades, Forest Park has enticed generations of WashU community members to step outside the university’s campuses and explore. Today, students and faculty are venturing deeper into the woods to learn about the biodiversity that teems there.

WashU students and faculty are cutting through the hype and grappling with artificial intelligence.

Scientists at Washington University have developed a breath test that quickly identifies those who are infected with the virus that causes COVID-19. The device requires only one or two breaths and provides results in less than a minute.

Ismael Seáñez at the McKelvey School of Engineering is developing a new method to treat spinal cord injuries that uses a low-tech electrode array that effectively stimulates muscles in the legs in people with spinal cord injuries.

Artificial intelligence tools like ChatGPT and Copilot offer helpful assistance to programmers, but computer scientists at the McKelvey School of Engineering have shown that both open-source and commercial AI platforms frequently generate copyright-infringing content.

Biologist Stan Braude in Arts & Sciences was part of a team that analyzed CT scans of the heads of more than 300 mammals to determine whether certain structures in the nasal cavity play a pivotal role in body temperature maintenance.

Philip Bayly and Jordan Escarcega at the McKelvey School of Engineering led a multi-institutional team to compare how the human brain deforms in response to movement using two types of magnetic resonance imaging. Such deformations are key to understanding traumatic brain injury but are challenging to study since the brain is hidden inside the skull.

With support from a $3 million grant from the National Institutes of Health (NIH), a multidisciplinary team led by Hong Chen at the McKelvey School of Engineering seeks to integrate ultrasound with genetics to precisely modify neurons in the brain.