The bone itself is made of mineral, which is pretty brittle—tough but not strong. Together, these two materials create a synergistic structure that boosts the toughness of the entire system. But the way those two components work together is complicated and not well understood. Morgan says that these new structures could be used for protection, such as pads inside of a helmet, and potentially synthetic bone substitutes in the future.
The entire system—including the robotic elements and the software—took about a year to build. They also pulled in another faculty member, Assistant Professor Emily Whiting Computer Science , to help with the computational algorithm development. In order to have the system be autonomous and not just automated, it needed to run machine learning algorithms during the testing and evaluating phases. While the system runs, it learns about failure in 3D-printed parts, and can choose the next design to test based on past results.
In addition to creating new collaborations, the divisions have also helped older ones bring in new funding and graduate students. Professor Sandor Vajda BME, SE and Paschalidis have been working together since before the establishment of the divisions, but have benefited from the collaborative space the divisions have created. Their decades-long project involves building an automated server to predict how one protein might bind, or dock, to another one.
Experimentally, this is an extremely difficult problem to solve in a biological lab, but by using computational methods, they have developed methodologies for predicting protein structures. Vajda says that although this work has direct implications in the biomedical space, the work requires a strong background in mathematics and computational methods—a skill set commonly found in systems engineering graduate students.
Instead of approaching the problem from a life sciences standpoint, they can approach it from another angle. That versatility is what makes these two areas of research so encompassing. Paschalidis, for example, collaborates on projects that involve many different areas, including protein docking, optimizing travel routes to mitigate traffic, and predicting and monitoring radiation-exposure levels in hospitals.
Both of these far-reaching disciplines, although very different, are heavily involved in research to help solve the climate change crisis.
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