The National Cancer Institute (NCI) seeks non-exclusive licensees for an ovarian cancer cell line, A2780, and its cisplatin- and/or adriamycin-resistant derivatives, A2780CIS and A2780ADR. These cell lines are excellent research tools to study ovarian cancer with a focus on drug resistance.
The National Eye Institute (NEI) seeks research collaborations and/or licensees for the use of induced pluripotent stem cells (IPS cells) derived from patients with CEP290 associated ciliopathies. IPS cells were derived from patients with Leber-congenital amaurosis and their unaffected relatives.
Computer automated segmentation of high variability organs and disease features in medical images is uniquely difficult. The application of deep learning and specialized neural networks may allow for automation of such interpretation tasks that are currently only performed by trained physicians. Computer automation may improve image analysis capabilities and lead to better diagnostics, disease monitoring, and surgical planning for many diseases. To help solve this challenge, researchers at the National Institutes of Health Clinical Center (NIHCC) have developed a technology that trains a computer to read and segment certain highly variable image features, and this technology is available for licensing.