Search Technologies

The National Cancer Institute (NCI) seeks parties interested in licensing software for the targeted delivery of anti-cancer agents in solid tumors.

The Office of the Director, National Cancer Institute is seeking statements of capability or interest from parties interested in collaborative research (using the Cooperative Research and Development Agreement (CRADA) or Material Transfer Agreement (MTA) to further develop, evaluate, or commercialize the software for accurate segmentation of cell nuclei and FISH signals in tissue sections. Collaborators working in the field of quantitative and automated pathology may be interested.

Researchers from NCI and Rudgers University developed  methods of detecting abnormal cells in a sample using the spatial position of one or more genes within the nucleus of a cell, as well as a kit for detecting abnormal cells using such methods. The invention also provides methods of identifying gene markers for abnormal cells using the spatial position of one or more genes within the nucleus of a cell. The National Cancer Institute seeks parties interested in collaborative research to co-develop diagnostic methods for detection of cancer using spatial genome organization.

The National Cancer Institute (NCI) seeks licensees for a novel computer program performing radiation dose calculations for diagnostic and therapeutic nuclear medicine.

Researchers at the National Institute on Drug Abuse (NIDA) seek licensing and/or co-development research collaborations to further develop, evaluate or commercialize the software, Mobile Personalized Assessment & Learning for Addiction Treatment and Behavioral Modification. NIDA researchers developed this software for use in treating substance use disorders (drugs, alcohol, smoking) that provides personalized feedback to users.

National Cancer Institute (NCI) researchers have developed a novel software tool for uniform recording of Mitotic Figure (MF) counts via conventional and/or digital microscopy. With this technology, diagnostic centers can standardize electronic recording, summation, and transcription of clinical data during surgical pathology examination. NCI seeks licensing partners to further develop this application for use in diagnosis and detection of malignant cancers.

Hospital Picture Archiving and Communication Systems (PACS) contain vast amounts of underutilized informatics about disease conditions. As computer image processing and systems advance, PACS informatics may form the foundation for precision automated computer-aided diagnostics for a wide range of disease conditions. Development of such systems may improve diagnostic accuracy and better inform treatment, but creating systems and algorithms capable of “learning” to recognize and locate the image patterns of disease and associated labels is a difficult problem. Researchers at the National Institutes of Health Clinical Center (NIHCC) have developed a technology that applies deep learning to PACS images to produce a database where certain disease features are identified and spatially located. Researchers at the NIHCC seek licensing of the PACS.

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 on Drug Abuse (NIDA) seek licensing or co-development of a Human Research Information System (HuRIS) software that automates all major functions of a clinical-research entity. The system is designed for commercial healthcare providers, community treatment centers, and clinical research facilities.