digital+health - Available Technologies | Rutgers University Innovation Ventures

Search Results - digital+health

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Risk Stratification Integrating mHealth and Artificial Intelligence
​ Portable Ultrasound Equipment improves patient access at the point of care Invention Summary: Cardiovascular disease is the leading cause of death in the United States, resulting in more than 600,000 deaths. Over 28 million Americans are diagnosed with heart disease and contribute more than $30 billion in healthcare-related expenses. Many...
Published: 7/9/2026   |   Inventor(s): Partho Sengupta, Naveena Yanamala
Keywords(s): Cardiovascular, Digital Health
Category(s): Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright, Technology Classifications > Medical Imaging
Synthetic Echocardiogram from ECG
​ Steps used to develop a machine learning model to extract heart features from electrocardiography results Invention Summary: Echocardiography (echo) uses high-frequency sound waves to create images of the heart and show its size, shape, and function. It is a valuable tool for detecting blood clots, tumors, structural defects, muscle performance,...
Published: 7/9/2026   |   Inventor(s): Partho Sengupta, Naveena Yanamala
Keywords(s): Cardiovascular, Digital Health
Category(s): Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright
Bioinformatic Methods for Determining Resistance to Cancer Treatments
​ ​ Invention Summary: Determining resistance to chemotherapy treatments for specific types of cancer (e.g., prostate, lung, breast, etc.,) as early as possible can prolong patients' lives by enabling them to be treated with other, and hopefully, more effective treatments as soon as possible. Researchers at Rutgers University have...
Published: 4/15/2026   |   Inventor(s): Antonina Mitrofanova, Sukanya Panja, Sarki Abdulkadir, Vishal Kothari, Edward Schaeffer
Keywords(s): Bioinformatics, Biomarkers, Digital Health, Prostate Cancer
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Cancer, Technology Classifications > Healthcare & Life Sciences
Cardiac Ultrasonic Fingerprinting: An Approach for High-throughput Myocardial Feature Phenotyping
Cardiac Ultrasound Fingerprinting is an approach for high throughput extraction of myocardial features Invention Summary: Tissue characterization of myocardial pathology has been an area of intense research and development due to the rising incidence of cardiovascular conditions and the growing geriatric population globally. Although Cardiac Magnetic...
Published: 7/9/2026   |   Inventor(s): Partho Sengupta, Sirish Shrestha, Nobuyuki Kagiyama
Keywords(s): Cardiovascular, Digital Health
Category(s): Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright, Technology Classifications > Healthcare & Life Sciences
Standardized Individual Pain Assessment Tool
A pipeline for utilizing facial, motor, and cardiac signals to measure an individual’s pain threshold Invention Summary: Self‐reporting of a person’s subjective level of pain is highly variable. This is due to individual differences in the way human beings experience pain. At present, no objective physiological scale of pain exists...
Published: 7/9/2026   |   Inventor(s): Elizabeth Torres, Mona Elsayed
Keywords(s): Autism, Digital Health
Category(s): Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright
Correcting Flawed Photograph Effects in Captured Medical Images
Background: Ultrasound and other medical imaging devices scan biological structures or tissues of a patient to aid in the diagnosis of serious illnesses such as cancer. Clarity and poor quality of scanned images due to conditions associated with the patient at time of image capture, or the skill of the technician capturing the scanned image can lead...
Published: 2/20/2026   |   Inventor(s): Richard Mammone, Christine Podilchuk
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Diagnostics, Technology Classifications > Medical Imaging
Correcting Image Distortion in Captured Medical Images
Background: There are many instances where quick and easy interpretation of a medical images, such as an x-ray, CT scan, MRI or ultrasound is useful. In these instances, the digital transfer of medical images between systems, providers, or users is difficult and time consuming due to the lack of interoperability of software protocols between imaging...
Published: 2/20/2026   |   Inventor(s): Richard Mammone, Christine Podilchuk
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Medical Imaging, Technology Classifications > Diagnostics
Heat Map Medical Image Diagnostic
Background: Ultrasound and other medical imaging devices scan biological structures or tissues of a patient to aid in the diagnosis of serious illnesses such as cancer. Often, clarity and quality of scanned images are suspect due to conditions associated with the patient or the skill of the technician capturing the scanned image and can lead to incorrect...
Published: 2/20/2026   |   Inventor(s): Richard Mammone
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Diagnostics, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Medical Imaging
Correcting Image Artifacts in Medical Images
Background: Ultrasound and other medical imaging technologies remove noise from scanned images by combining the scanned images in an averaging process that reduces and/or eliminates noise inherent in an imaging session. An artifact of the averaging process is blurring effects introduced to the resulting image which diminish the chances of a correct...
Published: 2/20/2026   |   Inventor(s): Richard Mammone, Christine Podilchuk
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Medical Imaging, Technology Classifications > Diagnostics, Technology Classifications > Healthcare & Life Sciences
Suspicious Object Detection in Medical Images
Background: Ultrasound and other medical imaging devices generate images by scanning biological structures and/or tissues of patients. These images aid in the diagnosis of serious illnesses such as cancer. Issues such poor quality and clarity of scanned images or conditions associated with the patient during scans or skill of the technician can...
Published: 2/20/2026   |   Inventor(s): Richard Mammone, Christine Podilchuk
Keywords(s): Digital Health, Imaging
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Diagnostics, Technology Classifications > Medical Imaging, Technology Classifications > Healthcare & Life Sciences
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