Engineering a multi-modal probe to detect neural, chemical, optical signals

A Mizzou Engineer and collaborators are developing a new type of neural probe that can improve basic understanding of brain circuits and ultimately lead to better treatments for neurological diseases. The novelty of the probe is in its multi-model sensing, said Yi Wang, an assistant professor of industrial and systems engineering. He is working on the project with researchers from North Carolina State University and the University of North Carolina-Chapel Hill. The team recently received a three-year grant from the National Science Foundation.

Mizzou Engineers earn honors at international dental research exhibition

Two Mizzou Engineers earned honors at an international exhibition in New Orleans in March. The awards were given at the 2024 International Association for Dental Research (IADR) General Session and Exhibition, which was held in conjunction with the Annual Meeting of the American Association for Dental, Oral, and Craniofacial Research (AADOCR).

Engineering a revolutionary method to measure cardiovascular stiffness

In a discovery that could revolutionize precision heart health care, Mizzou Engineering researchers have developed a way to measure cardiovascular stiffness—or the rigidity of arteries in your heart—based on data already being collected by traditional echocardiograms. “I consider this the most important work I’ve done in my career,” Professor Noah Manring said.

Team develops prototype for 4D printed medical implant that promotes regeneration of soft tissue

A Mizzou Engineering research team has successfully developed a prototype for a personalized medical implant that promotes the regeneration of soft tissue. The key is 4D printing, a 3D printing technique used on smart materials capable of changing function based on specific conditions.

Siemens Healthineers interns make strides to improve health in mid-Missouri

Thanks to the University of Missouri’s Value Partnership with Siemens Healthineers, MU student Erica Goodin got the opportunity to observe the process of powering down an MRI machine at a local hospital. During her internship, Goodin also worked with electrical components and circuit diagrams to solve issues with the 7-Tesla MRI scanner that belongs to NextGen Precision Health. These were special experiences for the biomedical engineering major who plans to work with similar machines in her future career.

Mizzou Engineering secures Nanoscribe Quantum X Shape 3D printer

Purchased with nearly $1 million from a U.S. Army Engineer Research and Development Center (ERDC) grant, the Quantum X shape from Nanoscribe, a Bico company, uses a process called two-photon lithography to rapidly cure a liquid resin, making it ideal for rapid prototyping and wafer-scale processing of any 3D shape. It’s the fastest and most accurate 3D printer for high-end microfabrication tasks on the market. Mizzou Engineering is one of just a few U.S. organizations to have the printer in and one of fewer than 100 around the world.

Mizzou Engineers advanced energy, AI, materials, transportation, health in 2023

This past year, Mizzou Engineers worked on significant solutions to society’s most-pressing challenges. They advanced nuclear power. They studied ways to turn leftover bread crust into plastics that will degrade naturally in the environment. They made artificial intelligence explain itself. They invented new materials, investigated self-driving trucks and came up with an innovative system to optimize blood supplies.

New tool provides greater accuracy for medical biosensors

A team of researchers developed a new method using nanopores — a nanometer-sized hole — to help scientists advance their discoveries in neuroscience and other medical applications.

Mizzou Engineer outlines system to customize blood supply chain solutions

Blood supply chains can be complicated. On one hand, healthcare providers must make sure they have enough to meet demands, which can be unexpected. On the other hand, roughly 20 million donated platelets are discarded each year because they expire before they’re needed.

AI software can predict ‘roadmap’ for protein location, biological discoveries

Recently, Dong Xu, Curators' Distinguished Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri, and colleagues updated their protein localization prediction model, MULocDeep, with the ability to provide more targeted predictions, including specific models for animals, humans and plants.