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CXCR4-Targeting Molecules for Tumor Metastasis and PET Imaging
Application Positron emission tomography (PET) imaging agents with high specificity for metastatic cancer. Key Benefits 18F-labeled CXCR4 (partial) antagonist without stem cell mobilizing property is safe to be given to patient multiple times. Identifies tumor location non-invasively and provides an indication of tumor’s metastatic potential. Market...
Published: 1/31/2024       Contributor(s): Hyunsuk Shim, Mark Goodman, Dinesh Shetty, Yoon Hyeun Oum
Multimodal Identification of Atrial Fibrillation Recurrence Sites
Application Identifies areas of interest associated with atrial fibrillation recurrences. Key Benefits Identifies sites associated with recurrences for AF patients. Predict AF recurrence risk in patients’ post-catheter ablation. Development of prediction model by extracting features from the surface of interest (SOI). Market Summary Atrial...
Published: 3/1/2024       Contributor(s): Abhishek Midya, Anant Madabhushi, Golnoush Asaeikheybari, Mina K. Chung, Amogh Hiremath, Moore Benjamin Shoemaker, Majd A. El-Harasis, John Barnard, Rod S. Passman
Markers Predictive of Therapeutic Response in B-cell Malignancies
Application Test to detect NF-kB2 breaks to guide treatment with proteasome inhibitors and its use with other therapeutic agents. Key Benefits Improved the prediction model to determine which patients are more likely to respond to bortezomib treatment. Improved the efficacy of treatment for patients with multiple myeloma and lymphomas. Market...
Published: 1/10/2024       Contributor(s): Leon Bernal-Mizrachi
System for Assessing Health Severity and Predicting Readmissions
Application A smartphone-based system for monitoring patients to identify and prevent severe cardiac events. Key Benefits A remote monitoring system that uses smartphone data to accurately predict a user’s risk for a severe cardiac event (e.g., heart attack). Tracks the user's movement, location, and physical activity to calculate FDA-accepted...
Published: 1/10/2024       Contributor(s): Gari Clifford, Amit J. Shah, Ayse Cakmak, Erik Reinertsen
Combination Antibiotic Therapy to Exploit Multiple Heteroresistance
Application Treatment with combinations of FDA-approved antibodies targeting small drug-resistant cell populations for infectious disease. Key Benefits Specific combinations of existing drugs that target small subpopulations of bacterial cells resistant to many standard of care treatment regimens. Potential to overcome the drug resistance crisis...
Published: 12/1/2023       Contributor(s): David Weiss, David Hufnagel, Victor Band
Assays for Labeling and Evaluating Lysine Methylation
Application A life science tool for evaluating protein lysine methylation for drug discovery and disease research. Key Benefits Highly specific labeling method for post-translational methylated lysine. Potential to improve the understanding of protein lysine methylation and help develop new drugs to block its interactions across several disease...
Published: 3/1/2024       Contributor(s): Monika Raj, Ogonna Nwajiobi
Wearable Device for the Early Detection and Monitoring of Atrial Fibrillation
Application A wearable device that enables long-term, continuous monitoring and screening for AFib by monitoring light signals on the skin. Key Benefits Inexpensive and compatible with existing wearable products by leading technology companies from Apple and others. Novel algorithms suppress irrelevant signals originating from a user's constant...
Published: 1/31/2024       Contributor(s): Shamim Nemati, Supreeth Shashikumar, Amit J. Shah, Qiao Li, Gari Clifford
Non-invasive Probes to Determine Efficacy of Cancer Therapies
Application A real-time, non-invasive probe to determine the efficacy of cancer immunotherapies. Key Benefits Determines immunotherapy success in patients. CAR cells can be tested before putting it back in the patients. Simple diagnostic with readout in 30 minutes compared to 2-3 days. Market Summary Lymphoblastic leukemia is one of the most...
Published: 1/10/2024       Contributor(s): Anna Kellner, Khalid Salaita, Curtis Henry
Machine Learning Diagnostic for Automated Identification and Classification of Bone Marrow Cells
Application Machine learning tool to aid in the diagnosis of hematologic disorders of bone marrow. Key Benefits Automated machine learning-based approach for performing bone marrow differential counts that accounts for all viable cells on the smear. Data generated by a prototype shows the system is fast and demonstrates precision compared to manual...
Published: 11/27/2023       Contributor(s): Lee Cooper, David Gutman, David Jaye, Ahmed Aljudi, Ramraj Chandradevan
Machine Learning for Neurodegenerative Disease Diagnosis and Monitoring
Application A machine learning classification model incorporating biomarkers for detecting Parkinson's disease. Key Benefits The image processing methods are simple to use, and the processing pipeline is fully automated. The method is novel and customized to address the practical requirements of clinical and research imaging. Market Summary Parkinson’s...
Published: 3/11/2024       Contributor(s): Daniel Huddleston, Babak Mahmoudi
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