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SMuRF: Software for Predicting Outcomes in Head and Neck Cancer
Application Novel data learning framework for integrating radiology and pathology data for discovering prognostic biomarkers and predicting outcomes in head and neck cancer. Key Benefits Can analyze multiple high-resolution images to identify specific and detailed areas of high prognostic value. Concurrently processes radiology and pathology images...
Published: 3/1/2024       Contributor(s): Bolin Song, Amaury Leroy, Anant Madabhushi
Software for Predicting Immunotherapy Response in Lung Cancer
Application Software to predict immunotherapy response and overall survival in patients with non-small cell lung cancer. Key Benefits Maps the complex relationships between multiple cell types within the tumor microenvironment to a pathomic signature for predicting immunotherapy outcome. Interprets these inter- and intra- relationships to predict...
Published: 3/1/2024       Contributor(s): Sara Arabyarmohammadi, Anant Madabhushi, German Corredor Prada, Kurt Schalper, Yufei Zhou, Miguel Lopez de Rodas Gregorio
Mouse Model for Specific Proteomic Labeling
Application Proteomic labeling (labeling of proteins). Key Benefits Method can be used to express TurboID in any cell type. The mouse line can be crossed with any existing Cre line and can be extended to any organ/tissue system. Detection of labeled biomarkers can be identified in biofluids as biomarkers of cell specific disease mechanisms. Can...
Published: 12/7/2023       Contributor(s): Srikant Rangaraju, Nicholas Seyfried, Sruti Rayaprolu
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: 3/19/2024       Contributor(s): Leon Bernal-Mizrachi
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
Blood-based Diagnostic Test for Anxiety
Application A blood-based biomarker test for the diagnosis of anxiety disorders. Key Benefits Gene panel of at least seven biomarkers that may predict anxiety in humans. Minimally invasive blood test. May identify different forms of anxiety leading to personalized treatment and improved clinical outcomes. Market Summary Anxiety disorders are...
Published: 12/20/2023       Contributor(s): Reid Alisch, Pankaj Chopra
Method and System for Recording and Recovery of Electrophysiology During Stimulation
Application Systems and methods for recording and recovering viable electrophysiological signals and during delivery of stimulation, including deep brain stimulation (DBS). Key Benefits Enables the recording of electrophysiology/neurophysiology during stimulation from the same stimulating contact and adjacent contacts. Enables the potential usage...
Published: 4/8/2024       Contributor(s): Enrico Opri, Svjetlana Miocinovic
A Predictive Marker and Treatment to Sensitize Multiple Myeloma Patients to Venetoclax (ABT-199)
Application A marker that predicts Venetoclax (ABT-199) sensitivity that can also be targeted with a drug to help multiple myeloma patients. Key Benefits Marker that predicts if venetoclax will be an effective treatment in multiple myeloma patients. A drug that targets venetoclax resistant multiple myeloma cells to improve treatment in patients. Market...
Published: 7/28/2023       Contributor(s): Malathy (mala) Shanmugam, Richa Bajpai
Predicting Treatment Response in Patients with Spinal Muscular Atrophy (SMA)
Application Prognostic model predicts treatment response to nusinersen (Spinraza®) in patients with spinal muscular atrophy. Key Benefits A prediction model using baseline CHOP-INTEND, IL-8, fractalkine, and MCP-1 accurately predicts CHOP-INTEND outcomes in children treated with nusinersen The model can also be incorporated into future therapeutic...
Published: 7/28/2023       Contributor(s): William Hu, Sumit Verma
Theranostic Biomarker for Aspirin-Exacerbated Respiratory Disease
Application Biomarkers for a clinical diagnostic tool and non-psychogenic therapy to detect and treat aspirin-exacerbated respiratory disease. Key Benefits Does not rely on aspirin challenge, increasing safety and availability for suspected patients. May be used in patients who have respiratory compromise or are not stable. Minimally-invasive...
Published: 7/28/2023       Contributor(s): Joshua Levy, Samuel Molina
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