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Assays and Reagents for the Detection of Soluble gp120 (HJF 651-23)
Researchers at the University of Montreal affiliated hospital research centre (CRCHUM) and the Uniformed Services University of the Health Sciences (USU) have developed an ELISA-based assay to detect soluble HIV gp120 in human biological fluids with pg/mL sensitivity, high reproducibility, and specificity.
Applications and Advantages
Highly sensitive,...
Published: 6/11/2026
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Updated: 6/11/2026
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Inventor(s): Marzena Pazgier, Andres Finzi, Jonathan Richard, Benlarbi Mehdi
Keywords(s): Assay, Biomarker, Fostemsavir, gp120
Category(s): Diagnostic
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A Urine-based Method to Isolate and Detect Prostate Cancer Cells Using Immunohistochemical Analysis (HJF 247-10)
Background
Current methods for detecting prostate cancer can lack sensitivity and specificity, particularly when analyzing low concentrations of cells in biological samples. Existing diagnostic techniques may require invasive procedures or fail to efficiently recover and identify cancer cells from urine samples.
There remains a need for improved methods...
Published: 7/15/2026
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Updated: 5/28/2026
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Inventor(s): Shiv Srivastava, Gyorgy Petrovics, Shyh-Han Tan, Kristen Nickens
Keywords(s): Biomarker, Cancer, Cell Line, Diagnostics, Immunohistochemistry, Prostate Cancer, PSA
Category(s): Diagnostic
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Prediction of Venous Thromboembolism Utilizing Machine Learning Models - (HJF 477-17)
Background
Individuals exposed to physical trauma, including battlefield injuries and major accidents, have an elevated risk of developing venous thromboembolism (VTE). Existing diagnostic approaches can be difficult to apply in acute trauma settings because robust and invasive diagnostic methods may not be feasible in the field or at the bedside....
Published: 7/16/2026
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Updated: 5/28/2026
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Inventor(s): Eric Elster, John Oh, Beverly Gaucher, Seth Schobel-McHugh
Keywords(s): Biomarker, Clinical Decision Support Systems, Machine Learning, Predictive Modeling, Trauma, Venous Thromboembolism
Category(s): Diagnostic
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Use of Machine Learning Models for Prediction of Clinical Outcomes (HJF 529-18)
Background
Individuals exposed to physical trauma, including battlefield injuries and major accidents, are at elevated risk of severe complications. Existing diagnostic approaches can make it difficult to accurately quantify clinical risk and guide treatment decisions, particularly in environments where advanced diagnostics are unavailable. Early identification...
Published: 7/16/2026
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Updated: 5/28/2026
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Inventor(s): Seth Schobel-McHugh, Matthew Bradley
Keywords(s): Biomarker, Critical Care, Diagnostics, Machine Learning, Random Forest Model, Respiratory, Respiratory Distress, Sepsis, Traumatic Brain Injury
Category(s): Diagnostic
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Biomarkers for Posttraumatic Stress Disorder (PTSD) - (HJF 356-13)
Introduction
Researchers at the Uniformed Services University of the Health Sciences (USUHS) have developed methods, kits and biomarkers based on microRNA (miRNA) measurements in human biological samples to detect, diagnose, monitor progression of, and potentially guide treatment for posttraumatic stress disorder (PTSD).
Applications and Advantages
Clinical...
Published: 7/16/2026
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Updated: 5/21/2026
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Inventor(s): Harvey Pollard, Roopa Biswas
Keywords(s): Biomarker, CSF, Diagnostic Kit, microRNA, miRNA, Monitoring, Plasma, qRT PCR, Ratio Biomarker, Time-of-day-sampling, Treatment Response
Category(s): Diagnostic
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System and Method for Predicting Pulmonary and Other Complications Following Rib Fractures - (HJF 690-24)
Introduction
Scientists at the Henry M. Jackson Foundation (HJF), the Uniformed Services University of the Health Sciences (USUHS), and Duke University (Duke) have developed innovative systems, methods, and computational models designed to predict clinical complications such as acute lung injury (ALI), acute kidney injury (AKI), pneumonia, and respiratory...
Published: 7/6/2026
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Updated: 12/19/2025
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Inventor(s): Joseph Fernandez-Moure, Seth Schobel-McHugh, Scott Grey, Renhua Li, Eric Elster
Keywords(s): Acute Kidney Injury (AKI), Acute Lung Injury (ALI), Biomarker, CDST, Chemokines, Cytokines, Immune Response Dynamics, Injury Trauma Prediction, Machine Learning, Personalized Treatment, Respiratory Distress
Category(s): Diagnostic
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Deiminated Proteins and Their Autoantibodies as Blast TBI Biomarkers (HJF 450-16)
Introduction
Inventors at the Uniformed Services University of the Health Sciences (USU) identified deiminated proteins and their autoantibodies that can be used as potential biomarkers for blast-related traumatic brain injury (TBI). This research addresses a significant health challenge faced by military personnel and athletes who experience repeated...
Published: 6/22/2026
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Updated: 7/22/2025
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Inventor(s): Gregory Mueller
Keywords(s): Biomarker
Category(s): Diagnostic
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Predictive Tool on Probability of Successful Wound Closure - (HJF 637-22)
Greater than 20% of traumatic wound closure attempts fail due to the immuno-molecular status of the healing wound tissue.
Researchers at HJF and the Uniformed Services University for Health Sciences (USU) developed a product that analyzes the individual's wound healing immune response and computes a risk of failure score based on cytokine levels...
Published: 7/1/2026
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Updated: 10/6/2023
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Inventor(s): Seth Schobel-McHugh, Eric Elster, Henry Robertson, Felipe Lisboa, Michael Rouse, Scott Grey
Keywords(s): Biomarker, CDST, Dehisced Wound, Effluent, Healing, Serum, Wound, Wound Closure, Wound Failure
Category(s): Diagnostic
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Predicting and Addressing Severe Disease in Sepsis Patients - (HJF 517-18)
Researchers at HJF have developed diagnostic tools to predict severe sepsis or the risk of developing severe sepsis prior to the onset of any measurable symptoms. As sepsis mortality is known to increase with delay in anti-microbial administration, this predictive model can give clinicians lead time to plan and execute treatment protocols. Based on...
Published: 7/16/2026
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Updated: 2/2/2023
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Inventor(s): Danielle Clark, Joost Brandsma, Deborah Striegel, Rittal Mehta
Keywords(s): Biomarker
Category(s): Diagnostic
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