AI for Health Institute launches to promote growing intersection of artificial intelligence, health
Washington University has launched the AI for Health Institute to design data-driven tools to characterize complex diseases, support clinical decisions and drive precision health. The institute was introduced at the AI & Digital Health Summit, held Oct. 18-19 at the university.
Award for paper on predicting postoperative complications with wearables, AI
A paper published by an interdisciplinary team led by Chenyang Lu at the McKelvey School of Engineering received a Distinguished Paper Award from the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
Engineers to build cyborg locusts, study odor-guided navigation
Researchers at the McKelvey School of Engineering have long sought to understand the power of locusts’ sensing, computing and locomotory capabilities.
Engineering a safer future against infectious disease
Quick detection of the COVID-19 virus — in the air and in one’s breath — offers hope in the nearly four-year struggle against the disease and its variants. A collaboration of WashU scientists is leading the way.
Braving the Medicare minefield
Alumnus Tej Seelamsetty applies his joint interests in business and technology to a massive health-care problem.
Singamaneni to develop advanced protein imaging method
With a $450,000 grant from the National Science Foundation, Srikanth Singamaneni at the McKelvey School of Engineering will develop a method that combines a bright fluorescent nanoparticle with expansion microscopy to image secreted proteins with high sensitivity, precision and accuracy.
Foundations award $5 million for food production initiative
Feng Jiao, a professor of energy, environmental and chemical engineering at the McKelvey School of Engineering, will lead work designed to address food insecurity in low- and middle-income countries.
Shedding light on mechanisms behind Alzheimer’s disease
Song Hu at the McKelvey School of Engineering plans to develop deep-brain fiber-optic techniques to investigate the cause of memory loss in Alzheimer’s disease.
Meet DOLCE, an AI tool that reconstructs CT images from limited-view data
Ulugbek Kamilov and Jiaming Liu in the McKelvey School of Engineering developed a sophisticated deep learning model that can create high-quality CT images from severely limited data and quantify the uncertainty in the reconstructed images.
Holehouse recognized by NIH for innovative research
Alex Holehouse, an assistant professor of biochemistry and molecular biophysics at the School of Medicine, will receive the New Innovator Award from the National Institutes of Health (NIH).
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