by | Apr 26, 2021 | Hawasli, Ammar, Jayasekera, Dinal, Lamichhane, Bidhan, Leuthardt, Eric, Ray, Wilson
— Technology Description:
Researchers at Washington University, led by Eric Leuthardt, have developed software that can identify specific brain regions involved in chronic low back pain from neuroimaging data. This software, powered by machine learning, relies on differences in cortical thickness an…
by | Mar 29, 2021 | Chakrabartty, Shantanu, Zhou, Liang
— Technology Description
Engineers in Prof. Shantanu Chakrabartty’s laboratory have developed a self-powered, CMOS-based, nano-scale “smart sensor” and timer system that uses quantum-tunneling for reliable, long-lasting memory or authentication.
This technology is a floating gate …
by | Mar 1, 2021 | Li, Jr-Shin, Zlotnik, Anatoly
— Technology Description:
Researchers in Prof. Jr-Shin Li’s laboratory have developed a robust, scalable, patented technology to control and entrain complex, noisy, non-linear oscillating systems such as neuronal firing and circadian rhythms. This system uses a single global, open-loop control …
by | Oct 30, 2020 | Tong, Liang, Vorobeychik, Yevgeniy, Wu, Tong
— Technology Description
Researchers in Prof. Yevgeniy Vorobeychik’s laboratory have developed a new adversarial model and training methods to defend deep neural networks against physical attacks that corrupt image classifications. This system outperforms previous state-of-the-art techniques a…
by | Sep 3, 2020 | Curiel, David
— Background:
Viral vectors have been used for in vivo delivery of CRISPR/Cas9. However, it’s applications have been limited by the native tropism of the viral vector. To better utilize in vivo editing, methods must be developed to accomplish efficient, selective and coordinated delivery of CRI…