— Technology Description
Researchers in Prof. Rob Mitra’s laboratory have developed single cell calling cards (“scCCs”), a robust and versatile self-reporting transposon system for high throughput analysis of protein-DNA binding with single cell resolution. This technology simulta…
— Technology Description
A team of Washington University researchers has developed a low-cost molecular diagnostics kit and reader that could provide rapid, widespread screening and surveillance for SARS-CoV-2 and other infections. This technology utilizes a reverse-transcription loop-mediated isot…
— 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…
— 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…
— 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…
| Name | # Summaries | Author |
|---|---|---|
| 15 | ||
| 13 | ||
| 15 | ||
| 26 | ||
| 14 | ||
| 14 |
Creating...
