by | Sep 18, 2020 | Jha, Abhinav Kumar, Liu, Ziping, Moon, Hae Sol, Rahman, Md Ashequr, Yu, Zitong
— Engineers in Washington University’s Computational Medical Imaging Lab have developed automated, machine-learning techniques to improve nuclear medicine imaging (SPECT and PET). These tools include estimation-based segmentation methods to define boundaries and ASC (attenuation and scatter comp…
by | Jul 29, 2020 | Diamond, Marc, Shao, Jieya
— Technology Description
Researchers at Washington University in St. Louis have developed a prognostic biomarker that can be used to predict response to genotoxic chemotherapy for patients with basal-like/triple-negative breast cancer. Basal-like/triple-negative breast cancer is considered to be mor…
by | Jul 27, 2020 | Qavi, Abraham, Swat, Wojciech
— Technology Description
Researchers at Washington University in St. Louis have developed an improved method to monitor the progression of lymphoproliferative disorders (LPDs) and guide treatment decisions. LPDs, including leukemia and lymphoma, are characterized by the abnormal proliferation of blo…
by | Jun 26, 2020 | Azab, Abdel Kareem, Federico, Cinzia, Schwarz, Julie, Sun, Jennifer
— Technology Description
Researchers in Prof. Kareem Azab’s laboratory have developed a fast, localized drug delivery system designed to maximize anti-tumor efficacy and reduce side effects by delivering chemotherapy directly to cervical tumors.
The current standard-of-care treatment regimen …
by | Jun 9, 2020 | Chaudhuri, Aadel, Maher, Christopher, Pachynski, Russell
— Technology Description
A team of researchers at Washington University has developed “EnhanceAR-Seq”, a circulating tumor DNA (ctDNA) assay that predicts which patients are at high risk for developing resistance to androgen receptor (AR)-directed treatment for metastatic prostate cancer…