by | Nov 5, 2020 | Damiano, Ralph, Schuessler, Richard
— Technology Description
This technology is a patented method aimed at increasing the success rate of atrial fibrillation (AF) treatment by designing customized, patient-specific cardiac ablation lesion sets.
AF, the most common sustained cardiac arrhythmia, has traditionally been treated with a ma…
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 | Oct 28, 2020 | Raviv, Netanel
— Technology Description
Researchers in Prof. Netanel Raviv’s laboratory have developed a provable error correcting code (ECC) system that could guarantee deep neural networks (DNN) are resilient to noise for robust, secure and private neural computation. This technology could be deployed in n…
by | Sep 30, 2020 | Fulton, Robert, Lanc, Irena, Tomasson, Michael, White, Brian
— Technology Description
Researchers at Washington University developed a prognostic assay for multiple myeloma that detects the full range of common multiple myeloma mutations using a single capture-based sequencing platform. This technology utilizes probes designed to analyze 465 genes associated …
by | Sep 25, 2020 | Binkley, Michael, Bose, Arpita, Meacham, John, Rengasamy, Karthikeyan
— Technology Description
An interdisciplinary team of Washington University researchers has developed a high-throughput microfluidic bioelectrochemical cell (μBEC) that collects electrochemical data and is compatible with live-cell microscopy and spectrometry. This device transcends the capabilit…