by | Aug 10, 2023 | Jha, Abhinav Kumar, Li, Ran, Woodard, Pamela, Zheng, Jie
— Technology Description
Researchers at Washington University in St. Louis have developed a two-stage neural network model, with CNN and BNN architecture, to segment carotid atherosclerotic plaque components based on multi-weighted MR images and measure the uncertainty of the segmentation output. Th…
by | Jun 28, 2022 | Carrasquel Ursulaez, Willy, Chanda, Baron
— Technology Description
Researchers in Baron Chanda’s lab at Washington University and Jennifer Schomaker’s lab at University of Wisconsin-Madison have developed a library of benzo(crown-ether) compounds capable of self-assembly into ion channels. These monoacylated and monoalkylated be…
by | Mar 2, 2022 | Lim, Kian-Huat, Liu, Yongjian, Zhang, Xiaohui
— Disease indication –
Drug format – Combination containing radiolabeled copper nanocluster, small molecule, and peptide
Drug class – First-in-class
Target – CCR2, the receptor for CCL2
Mode of action – The ECL1i peptide is conjugated to a copper nanocluster loaded…
by | Feb 18, 2022 | Mudd, Philip
— Technology Description
Researchers in Philip Mudd’s lab at Washington University have developed a blood biomarker test that detects impending respiratory failure before existing diagnostics. High levels of the biomarker IP-10 in the blood are correlated with the subsequent development of acu…
by | Jan 12, 2021 | Liu, Yongjian
— 64Cu-DOTA-vMIP-II is a broad spectrum PET imaging agent that provides a non-invasive measurement of up to 10 chemokine receptors involved in the inflammatory processes of various diseases. This agent is based on the peptide vMIP-II (viral macrophage inflammatory protein-II), a viral CC chemokine enc…