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 | Jul 18, 2022 | Benzinger, Tammie, Guzman, Gloria, Wang, Qing, Wang, Yong
— Background
Currently, biopsies are the only definitive method to diagnose a brain tumor. While PET-CT is used for initial imaging and monitoring of the tumor, after completion of treatments, a 6-8-week delay is usually implemented to avoid false-positive results. Yet, the delay could also result in…
by | Jun 28, 2022 | Klein, Robyn, Williams, Jessica
— Technology Description
Researchers in Prof. Robyn Klein’s laboratory have discovered that interferon lambda (IFN-λ) is a potential target for treating multiple sclerosis (MS), particularly secondary progressive MS (SPMS).
Most patients with MS present with relapsing remitting MS (RRM…