by | Feb 27, 2020 | Green, Olga, Mutic, Sasa, Park, Chunjoo (Justin), Zhang, Hao
— Technology Description
A team of researchers at Washington University School of Medicine developed deep learning image processing techniques to improve MRI diagnostics and potentially enable faster, more precise MRI-guided radiation therapy without exposing patients to radiation from CT imaging. S…
by | Jan 6, 2020 | Cahill, Alison, Cuculich, Phillip, Schwartz, Alan, Wang, Yong
— Technology Description
Researchers at Washington University in St. Louis have developed an electromyometrial imaging (EMMI) method to non-invasively monitor uterine contractions. During pregnancy, many women experience preterm contractions. Sometimes these contractions progress to pre-term labor a…
by | Nov 18, 2019 | Altman, Michael, Green, Olga, Kavanaugh, James, Li, Hua, Mutic, Sasa, Wooten, Hasani
— Technology Description
A team of researchers at Washington University has created a machine learning method to quickly and reliably validate patient contours in digital medical images for radiation therapy and computer aided image analysis.
Currently, automated contouring tools for delineating tu…
by | Oct 22, 2019 | Colditz, Graham, McQueen, Amy, Sumner, Walton
— Quit Helpers is an interactive web-based tool to recommend pharmacotherapy to smokers based on medical and personal factors. Although general information about cessation aids is abundant, Quit Helpers automates the process of identifying a specific cessation aid or combination of aids for individua…
by | Oct 22, 2019 | Colditz, Graham, Corcoran, Heather
— Zuum is a health-risk assessment software that serves as a prognostic for various types of cancer.