Using AI to analyze large amounts of biological data
Researchers at the University of Missouri are applying a form of artificial intelligence (AI) — previously used to analyze how National Basketball Association (NBA) players move their bodies — to now help scientists develop new drug therapies for medical treatments targeting cancers and other diseases.
Mizzou Engineers help locate remote bomas in East Africa through geospatial AI
Mizzou Engineers have helped a non-profit agency by using artificial intelligence to locate bomas, or small huts, in remote areas of Eastern Africa.
Engineering team devises new way to turn 360 image into 3D model
A Mizzou Engineering team has devised a new way to turn single panoramic images into 3D models. Researchers outlined the work in a paper that has been accepted to Computer Vision and Pattern Recognition (CVPR).
Personalizing the fight against flu
The COVID-19 pandemic might have overshadowed the usual concerns about the annual flu season, but the virus continues to be a top priority for Henry Wan, a virologist at the University of Missouri with a joint appointment in engineering.
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.