by | Jun 18, 2024 | Ali, Muhammad, Cruchaga, Carlos
— Technology Description
Researchers at Washington University in St. Louis have developed models that can very accurately predict brain amyloidosis—Alzheimer’s disease status. Alzheimer’s disease (AD) is characterized by the accumulation of Amyloid-β (Aβ42) and hyperphos…
by | Jun 18, 2024 | Brunner, Peter, Cho, Hohyun
— Technology Description
Researchers at Washington University in St. Louis have developed a software method that demonstrates high precision and specificity in detecting neural oscillations in time and frequency domains. Current methods to look at identifying peaks over 1/f noise within the power s…
by | Jun 12, 2024 | Adamek, Markus, Brunner, Peter, Leuthardt, Eric, Willie, Jon
— Technology Description
Researchers at Washington University in St. Louis have developed a deep brain stimulation approach that can identify optimal stimulation parameters intraoperatively, which significantly reduces the amount of time spent on adapting stimulation parameters, thus reducing costs,…
by | Jun 11, 2024 | Banas, Victoria, Janetka, James, Mahoney, Matthew, Mitreva, Makedonka
— Novel Composition Designed to Treat Nematode Infections
Value proposition: Small molecule treatments designed to target the adult worm to treat nematode infections in animals.
Technology Description
Researchers at Washington University in St. Louis have developed novel small molecule treatment…
by | Jun 11, 2024 | Berezin, Mikhail, Birman, Vladimir, Fuentes, Isaac, Tang, Rui
— Value proposition: Fluorescent oxonol dyes that can be used to enhance bioimaging for the treatment of cancer.
Technology Description
Researchers at Washington University in St. Louis have developed a new class of fluorescent oxonol dyes that exhibit absorption and emission in the near infrared…