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
|