by | Apr 26, 2021 | Chapman Jr., William "Will Jr", Leng, Xiandong, Mutch, Matthew, Uddin, Shihab, Zhu, Quing
— Technology Description:
Researchers led by Quing Zhu at Washington University have developed a method for imaging rectal tumors using photoacoustic microscopy and ultrasound with a machine learning component. This method is better able to differentiate residual cancer from healthy tissue following…
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 | Apr 8, 2021 | Lichti, Cheryl, Unanue, Emil, Wan, Xiaoxiao
— Technology Description:
Researchers in the lab of Emil Unanue at Washington University have discovered a panel of peptides responsible for autoimmune activation in Type 1 diabetes and potentially capable of diagnosing T1D at an early stage. These peptide fragments of insulin are found circulating …
by | Apr 7, 2021 | Jun, Young-Shin, Singamaneni, Srikanth
— Technology Description
A team of researchers led by Young-Shin Jun have developed a polymer coating for N95 respirators that would permit fast, easy, and cheap N95 disinfection using only direct sunlight. The researchers coated the outermost fabric layer in polydopamine, which converts photon energ…
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 …