Understanding features that help cells stay organized
Work from the lab of Rohit Pappu at the McKelvey School of Engineering and colleagues at St. Jude continues to reveal novel findings about phase separation, the process cells use for organization.
International team finds new mechanism critical for formation of membrane vesicles
A collaboration between Washington University in St. Louis, Université de Montréal and McGill University discovers a new importance of biomolecular condensates.
Mitigating environmental impact of herbicides
Research from the lab of Kimberly Parker at the McKelvey School of Engineering looks at the interactions of different herbicides and what they mean for herbicide drift.
Research brings analog computers just one step from digital
Xuan “Silvia” Zhang’s lab at the McKelvey School of Engineering has reached a theoretical limit for efficiently converting analog data into digital bits in an emerging computer technology.
Covey, Milbrandt, Moran named to National Academy of Inventors
Washington University in St. Louis faculty from the School of Medicine and the McKelvey School of Engineering have been elected fellows of the National Academy of Inventors, the highest professional distinction reserved solely for academic inventors.
Research sheds light on rotator cuff injuries
A team of researchers co-led by Guy Genin at the McKelvey School of Engineering has made a discovery about how tendon and bone attach in the shoulder joint, shedding light on rotator cuff injuries and how to treat them.
Engineering team honored in water systems challenge
A team led by Zhen (Jason) He at the McKelvey School of Engineering earned second place at the 2021 Intelligent Water Systems Challenge for its solution to a wastewater treatment problem.
Reidentifying faces from genomic data more difficult than previously thought
Despite others’ previous claims, the lab of Yevgeniy Vorobeychik and collaborators have determined it’s not so easy for a neural network to recreate a person’s face from DNA.
Less energy, better quality PAM images with machine learning
A team of researchers led by Song Hu at the McKelvey School of Engineering has developed a two-step denoising technique for photoacoustic microscopy, a method that allows researchers to see tiny vessels in the body.
Early warning system model predicts cancer patients’ deterioration
A multidisciplinary team of researchers at Washington University is developing a machine-learning-based early warning system to predict cancer patients’ deterioration and improve patient outcomes.
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