Engineering undergraduates present research at Missouri Capitol
Missouri lawmakers this week heard about how Mizzou Engineering researchers are turning byproducts into nutritious foods, assessing water quality in the state and improving the accuracy of large-scale smart city synthetic environments
New web resource provides health, socioeconomic, other geospatial data
A Mizzou Engineering team has developed a web resource that allows users to sort and view health, socioeconomic, accessibility and population data by county.
Harnessing the power of AI to advance knowledge of Type 1 diabetes
An interdisciplinary team of researchers from the University of Missouri, Children’s Mercy Kansas City and Texas Children’s Hospital has used a new data-driven approach to learn more about persons with Type 1 diabetes.
Engineer uses advanced deep learning to predict where proteins will localize within cells
A Mizzou Engineer is developing computational tools that can be used to predict where proteins will localize within a cell. Using highly advanced deep learning, the resource could help researchers better understand how proteins function or, if positioned incorrectly within a cell, misfire and cause problems.
Researchers use machine learning to decipher 17th Century handwriting
University of Missouri researchers are closer to deciphering historical scripts that could shed light on life and business in 17th Century Latin America.
Engineer proposes deep learning system to speed drug development
A Mizzou Engineer has proposed a new deep learning system that would speed up drug development by more accurately predicting how drugs and proteins interact.
Team studies virtual reality platforms using new CAVE
The team attempted to develop a new software that can create large-scale virtual models in the CAVE on campus.
Mizzou Engineers to help NextGen Precision Health professionals process, analyze, protect big data
Mizzou Engineers will help NextGen Precision Health professionals analyze the large volumes of information coming from sophisticated MRI and other imaging equipment, as well as determining how best to store that information securely.
Team uses machine learning to train multiple drones to collaborate within a network
The team used machine learning to train drones to work together within a network to survey an area, track objects and transmit information back to a ground station.
A faster ‘code breaker’ to analyze human DNA
Mizzou researchers are developing a free, online resource that could help scientists accelerate their discoveries for various human diseases.