Researchers at the National Cancer Institute (NCI) developed a novel mouse for the detection of TGF-ß signaling. This mouse provides the opportunity to study TGF-ß signaling in vivo and may be a useful model for preclinical pharmacology studies. The NCI seeks licensees for the TGF-ß reporter mouse.
Recombinant human tissue inhibitors of metalloproteinases (rhTIMP-2) have been shown to suppress tumor growth and tumor-associated angiogenesis. NCI Radiation Oncology Branch (ROB) researchers have developed a unique HEK-293F cell line which stably expresses rhTIMP-2, increasing the production of TIMP-2 to quantities sufficient to be used for testing and development as a therapeutic for various cancers, ischemic diseases (myocardial infarct and cerebrovascular infarct), and neurodegenerative diseases.
Surgery specialists from Johns Hopkins University, in collaboration with researchers at the National Cancer Institute (NCI), developed peptide hydrogel compositions and methods to suture blood vessels during microsurgery. The hydrogels particularly benefit surgeons in whole tissue transplant procedures. The NCI seeks co-development research collaborations for further development of this technology.
Researchers at the National Cancer Institute (NCI) RNA Biology Laboratory have developed nanoparticles that can deliver an agent (i.e., therapeutic or imaging) and release the agent upon targeted photoactivation allowing for controlled temporal and localized release of the agent.
Researchers at the National Cancer Institute (NCI) developed a novel biophysical technique to purify extracellular vesicles (EVs) from contaminants such as proteins and unbound labels. The NCI seeks licensees and/or co-development research collaborations to further advance this technology for EV-based biomarkers and therapeutics to treat a wide range of diseases.
The National Cancer Institute (NCI) seeks licensing partners for a novel modified insect cell line, Sf9-ET, that can quickly and efficiently determine baculovirus titers during the expression of recombinant proteins from a baculovirus-based protein expression system.
The National Institutes of Health - Clinical Center (NIH-CC) seeks to license and/or co-develop methods of reading chest x-rays using a deep learning models to detect a disease and describe its contents.
Researchers at the National Institute of Health (NIH) and National Institute of Standards and Technology (NIST) seek licensing or co-development partners for a method to predict functions, identity, disease state, and health of stem cells using machine learning.
The National Institute of Health - Clinical Center (NIH-CC) seeks licensing and/or co-development of a system and method for tracking eye movement to increase the efficacy of visual diagnoses by radiologists.