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  • Technology Classifications.lvl0:Computers, Electronics & Software > Machine Learning
 
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  1. Personalized Care for Patients with Retinal Diseases

    Unmet Need According to the National Institute of Health, neovascular (wet) age-related macular degeneration (nAMD) is the most common cause of visual impairment among elderly patients in developed countries, and is predicted to increase globally from 196 million patients in 2020 to 288 million by 2040. Our current management of nAMD has two major...
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  2. Augmented or Virtual Reality Based Evaluation of Visual Field

    Sensitive visual field assessment using augmented reality JHU Ref #: C17601 Unmet Need While visual field measurement is key in diagnosing and monitoring eye and systemic diseases in patients (American Academy of Ophthalmology, 2022), current practices are either quick but imprecise (confrontation visual field tests that rely on the doctor’s hand...
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  3. Systems and Methods for Automatic Detection and Localization of Foreign Body Objects during (and after) Neurosurgery

    Unmet Need ·        Retained foreign bodies (RFBs) are remnant materials following neurosurgery, often imperceptible cotton tufts, that can lead to neurological impairment and textilomas (Bechtold et al 2020).  The incidence is estimated to be as high as 1 in 100 operations, and cost hospitals millions in healthcare costs and litigation (Whang et al....
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  4. Three Material Decomposition using a Triple-Layer Flat-Panel Detector

    Value Proposition: - Method for direct, real-time visualization of bone, water, and iodine contrast agents. - Allows for better visualization of moving structures; reduces imaging artifacts induced by motion (i.e. beating heart)  Technology Description - Researchers at Johns Hopkins have developed a method for fast processing of data acquired using...
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  5. Antibody Structure Prediction from Pre-trained Language Model (IgFold)

    Inventor(s): Jeffrey Ruffolo and Jeffrey Gray Unmet Need: Antibodies are able to bind a diverse set of antigens and have become critical therapeutics and diagnostic molecules. Antibody binding is facilitated by a set of six hypervariable loops that are diversified through genetic recombination and mutation. An accurate structural model of the hypervariable...
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  6. Machine Learning Algorithm for Delirium Prediction in the Intensive Care Unit

    Unmet Need Delirium is a potentially preventable and often reversible disorder of impaired cognition. It is common in the intensive care unit (ICU), with an overall prevalence of 32.3%. However, the prevalence is dependent on the type of patients. For example, among ventilated burn patients, the prevalence is 77%, and among mechanically ventilated...
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  7. A System for the Automated Classification of Disease Tissue in Molecular Imaging Studies utilizing Convolutional Neural Networks with User-Selectable Sensitivity and Specificity

    Unmet Need Medical imaging is an important diagnostic tool used for the detection of a wide array of clinical conditions. The application of Artificial Intelligence (AI) and Deep Learning (DL) is being developed to assist medical imaging professionals manage the ever-growing number of images which they must interpret in their research and clinical...
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    Inventors
  8. CloneRetriever: An Automated Algorithm to Identify B-cell and T-cell Gene Rearrangements by Next-Generation Sequencing

    Unmet Need In the U.S., there are an estimated 1,297,027 people living with blood cancers (leukemia, lymphoma or myeloma), with an additional 178,520 people expected to be diagnosed each year (see Leukemia & Lymphoma Society). Diagnostics tools that utilize next-generation sequencing (NGS) technologies are often performed to identify gene rearrangements...
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  9. Automated Pipeline for Acute Stroke Segmentation in Brain MRIs

    Unmet Need According to the World Health Organization annually, 15 million people worldwide suffer a stroke. Of these, 5 million die and another 5 million are left permanently disabled, placing a burden on family and community. Within the United States more than 795,000 people suffer from a stroke every year with more than 131,000 of these resulting...
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  10. Quantitative Human Motion Analysis using Video-based Pose Estimation

    Unmet Need Human gait analysis is now common in many fields of clinical and basic research, but gold standard approaches – e.g., three-dimensional motion capture, instrumented mats or footwear, and wearables – are often expensive, immobile, data-limited, and/or require specialized equipment or expertise for operation, furthermore limiting the access...
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  11. Automated Surgical Learning and Debriefing Platform

    Unmet Need A cataract is a condition denoted by the blurring of the lens of the eye that accounts for 51% of blindness and 33% of visual impairments worldwide (see WHO). The number of people in the U.S. with cataracts is expected to double from 24.4 million in 2010 to a projected 50 million in 2050 (see NIH). Surgery is the only corrective treatment...
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  12. Segmenting retinal OCT images with inter-B-scan and longitudinal information

    Unmet Need A recent study by the National Multiple Sclerosis Society found that nearly one million people are living with multiple sclerosis (MS) in the United States, making it the most common immune-mediated inflammatory demyelinating disease of the nervous system. Due to few disease-specific characteristic symptoms and the varied pace of disease...
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  13. Cognitive Load Aware User Interfaces for Mixed Reality Environments

    Unmet Need Intelligent personal assistants (IPAs) – like Alexa, Cortana, Siri, Bixby, or Google Assistant – represent an emerging method by which customers can interact with technology in a more natural, conversational manner. IPAs that fail to adapt to the cognitive or emotional states of their users – for example, overloading users with information...
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  14. A Dual Mode Photoacoustic Visual Servoing System to Track Needle and Catheter Tips during Surgical Procedures Using Beamformed Images or Raw Channel Data

    Unmet Need: Needle guided procedures like catheterizations and biopsies are important medical tools to diagnose and treat disease. In the US alone, over 2.7 million catheterization procedures and over 3 million breast cancer biopsies are performed every year (see iData and CST). Real time imaging of biopsy needles is a technique used by physicians...
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  15. Arrhythmic Sudden Death Survival Prediction using Deep Learning Analysis of Scarring in the Heart

    Unmet Need: Sudden cardiac death (SCD) is a leading cause of death in western countries, accounting for 15 – 20% of deaths (Kumar, et al. 2021). Currently, the standard for estimating risk for SCD is based on a left ventricular ejection fraction (LVEF) lower than 30-35% (Russo et al, 2013) which captures only 20% of arrhythmic sudden cardiac deaths...
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  16. aEYE: Automated Eye Movement Detection

    Unmet Need: Eye movement frequently inform diagnoses of neurological dysfunctions and states. For example, such signatures may help gauge response to therapy, assess intoxication, and identify brain injury. A method is needed to predict and detect predict subtle eye movements for such applications.   Technology Overview: Inventors at Johns Hopkins...
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  17. Backprojection Method for 3D Image Reconstruction

    Unmet Need Computed tomography (CT) use has dramatically increased over the past 20 years such that around 31% of primary care patients undergo CT scans every year. All CT scans employ “back-projection” as the basic computational method to relate 2D detector signal values into a 3D re-construction. However, image reconstruction sometimes leads to noise...
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  18. Machine Learning System to Detect Streptococcus Pharyngitis (aka 'Strep Throat')

    Unmet Need There are 7.8 million children diagnosed with pharyngitis each year, and another 4.8 M children with other associated complaints (respiratory symptoms or fever). These typically warrant a rapid strep test. The CDC estimates that there are 11,000 to 24,000 cases of strep throat each year in the United States, and that between 1,200 and 1,900...
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  19. Clinical-grade in-home automatic human sleep measurement using artificial intelligence and a novel sensor array

    Unmet Need Sleep is usually measured in a clinic utilizing a technique called Polysomnography (PSG). PSG’s efficacy is largely dependent on a trained technician to accurately place EEG/EOG/EMG sensors across the patient’s head at a sleep clinic and then accurately interrupt the signals by eye. The sleep clinic setting also introduces a suboptimal...
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  20. A Novel Deep Learning Leukemia Diagnostic Algorithm Incorporating Explainable Artificial Intelligence for Rapid and Accurate Point of Care Diagnosis from a Peripheral Blood Smear: Explainable Peripheral Smear.AI

    Unmet Need In the United States, acute myeloid leukemia affects approximately 20,000 individuals with a subset of these cancers, about 5-10%, presenting with acute promyelocytic leukemia (see ACS, RD). Acute promyelocytic leukemia is caused by a genetic translocation between chromosomes 15 and 17 [t(15:17)] and clinically presents as a cancer that...
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