Gel-like materials that can be injected into the body hold great potential to heal injured tissues or manufacture entirely new tissues. Many researchers are working to develop these hydrogels for biomedical uses, but so far very few have made it into the clinic.
Gel-like materials that can be injected into the body hold great potential to heal injured tissues or manufacture entirely new tissues. Many researchers are working to develop these hydrogels for biomedical uses, but so far very few have made it into the clinic.
To help guide in the development of such materials, which are made from microscale building blocks akin to squishy LEGOs, MIT and Harvard University researchers have created a set of computational models to predict the material’s structure, mechanical properties, and functional performance outcomes. The researchers hope that their new framework could make it easier to design materials that can be injected for different types of applications, which until now has been mainly a trial-and-error process.
“It’s really exciting from a material standpoint and from a clinical application standpoint,” says Ellen Roche, an associate professor of mechanical engineering and a member of the Institute for Medical Engineering and Science at MIT. “More broadly, it’s a nice example of taking lab-based data and synthesizing it into something usable that can give you predictive guidelines that could be applied to things beyond these hydrogels.”
Read more at Massachusetts Institute of Technology
Image: MIT and Harvard researchers have developed computational models that can predict the properties of materials made from squishy hydrogel blocks. Credits: Courtesy of the researchers
