breast+cancer - Available Technologies | Rutgers University Innovation Ventures

Search Results - breast+cancer

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New Vector Platform for Concurrent Tumor Imaging, Therapy, and Evaluation of Response to Therapy
Diagnosis of HER2+ cancer metastasis lesions in mouse using a genetically engineered targeted vector in conjunction with MRI. The MRI followed by voxel-by-voxel analysis of scans showed that the vector makes it possible to differentiate HER2+ from HER2- cancer lesions in mouse lungs Invention Summary: The human epidermal growth factor receptor-2...
Published: 8/8/2022   |   Inventor(s): Arash Hatefi
Keywords(s): Breast Cancer
Category(s): Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Cancer
Predicting Therapeutic Resistance to Tamoxifen in Cancer Treatment
Invention Summary: Currently, patients with ER+ breast cancer are administered tamoxifen without considering their potential response to this therapy. Thousands of women take the tamoxifen only to discover that their tumors do not respond or that they develop resistance over time. The ability to screen patients ahead of the therapy administration...
Published: 12/13/2022   |   Inventor(s): Antonina Mitrofanova, Sarra Rahem
Keywords(s): Bioinformatics, Breast Cancer, Data Science, Digital Health
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Diagnostics, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Cancer
Small Molecule Extracellular Inhibitors of TAM Receptors for Cancer Therapy
Invention Summary: The TAM receptors (Tyro3, Axl, and Mertk) are a family of three homologous receptor tyrosine kinases (RTKs) that play important roles in tissue homeostasis, immune response, and the resolution of inflammation. Besides the intracellular catalytic kinase domain common to all kinases, the TAMs uniquely contain an extracellular domain...
Published: 3/21/2024   |   Inventor(s): William Welsh, Raymond Birge, Vladyslav Kholodovych, Youyi Peng, Stanley Kimani, Thomas Comollo, Kamalendra Singh
Keywords(s): Anti-cancer, Brain Cancer, Breast Cancer, Cancer biomarkers
Category(s): Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Therapeutics