by | May 19, 2021 | Hotchkiss, Richard, Mazer, Monty, Remy, Kenneth, Turnbull, Isaiah
— Technology Description
A team of researchers, led by Richard Hotchkiss at Washington University in St. Louis, have developed a version of the ELISpot assay to determine if COVID-19 patients are in a hyper-inflammatory or immunosuppressed state. The results of this assay, which can be performed wit…
by | May 7, 2021 | Barrow, Alexander, Colonna, Marco
— Technology Description
Researchers in Prof. Marco Colonna’s laboratory have identified a receptor-ligand interaction that could be harnessed to activate the innate immune system to treat cancer or enhance the response to vaccines for infectious disease. Specifically, platelet-derived growth f…
by | Apr 29, 2021 | Adams, Lucas, Diamond, Michael, Fremont, Daved, VanBlargan, Laura
— Disease indication – SARS-CoV-2 infection (COVID-19)
Drug format – Chimeric monoclonal antibody
Drug class – Best-in-class
Research stage and Preliminary data – The inventors have developed and characterized this antibody, creating a chimeric version with a human IgG backbone. T…
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…