Search Results - technology+classifications+%3e+computers%2c+electronics+%26+software+%3e+machine+learning

42 Results Sort By:
Accelerating Numerical Methods with AI-Based Surrogate Models
Value Proposition: Efficient modeling of dynamic phenomena with negligible error rates below 1% Reduced computational demand, not dependent on large datasets Utility across different domains and scalable to multiscale challenges Applicable to life sciences, material science, and engineering sectors Unmet Need: Accurate modeling of material...
Published: 6/27/2025   |   Inventor(s): Somdatta Goswami, Wei Wang
Keywords(s):  
Category(s): Copyright, Technology Classifications > Engineering Tech, Technology Classifications > Industrial Tech, Technology Classifications > Research Tools, Technology Classifications > Computers, Electronics & Software > Artificial Intelligence, Technology Classifications > Computers, Electronics & Software > Algorithms, Technology Classifications > Computers, Electronics & Software > Machine Learning, Technology Classifications > Industrial Tech > Materials, Technology Classifications > Computers, Electronics & Software, Technology Classifications > Engineering Tech > Industrial Manufacturing
AR CPR: Augmented Reality System to Improve Cardiopulmonary Resuscitation
Unmet NeedAccording to the Pearlman School of Medicine, pediatric in-hospital cardiac arrest (IHCA) occurs frequently and has a high mortality rate. Each year more than 15,000 children receive cardiopulmonary resuscitation (CPR) for cardiac arrest during hospitalization in the United States (Topjian, et al., 2021). As many as 80% to 90% survive the...
Published: 6/27/2025   |   Inventor(s): Therese Canares, Justin Jeffers, Keith Kleinman, Blake Schreurs, James Dean, Brandon Scott
Keywords(s):  
Category(s): Technology Classifications > Computers, Electronics & Software, Technology Classifications > Computers, Electronics & Software > Artificial Intelligence, Technology Classifications > Computers, Electronics & Software > Machine Learning, Technology Classifications > Computers, Electronics & Software > Sensors, Clinical and Disease Specializations > Pediatrics, Clinical and Disease Specializations > Cardiovascular > Cardiac Arrest, Technology Classifications > Medical Devices > Cardiology
AI-Powered Brain Tumor Prognosis Tool Post-Surgery
Value Proposition: Combines MRI imaging and clinical variables for a comprehensive and accurate prediction of brain tumor outcomes and can automates complex analyses to save time for clinicians while supporting personalized patient counseling and optimized treatment strategies. Demonstrates proven accuracy through validation on 600 glioblastoma...
Published: 6/27/2025   |   Inventor(s): Julian Gendreau, Yuncong Mao, Linda Tang, Melanie Alfonzo Horowitz, Saket Myneni, Jacob Gould, Karim Ahmed
Keywords(s):  
Category(s): Clinical and Disease Specializations > Oncology, Clinical and Disease Specializations > Oncology > Glioblastoma, Technology Classifications > Computers, Electronics & Software > Artificial Intelligence, Technology Classifications > Computers, Electronics & Software > Machine Learning, Technology Classifications > Computers, Electronics & Software > Precision Medicine Tools
Parameterized denoising network
Unmet NeedThere exists a wide array of strategies for noise reduction in x-ray computed tomography (CT), most of which provide sufficient efficacy in providing a more optimal output. However, current machine learning approaches are developed to provide a singular output of the best solution. This, however, is limiting as certain applications require...
Published: 6/27/2025   |   Inventor(s): Joseph Stayman, Jianan Gang, Jeremias Sulam, Wenying Wang
Keywords(s):  
Category(s): Technology Classifications > Computers, Electronics & Software > Machine Learning, Technology Classifications > Computers, Electronics & Software > Artificial Intelligence
Personalized Care for Patients with Retinal Diseases
Unmet NeedAccording 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 limitations....
Published: 6/27/2025   |   Inventor(s): Tin Yan Liu, Craig Jones
Keywords(s):  
Category(s): Technology Classifications > Computers, Electronics & Software > Artificial Intelligence, Technology Classifications > Computers, Electronics & Software > Algorithms, Technology Classifications > Computers, Electronics & Software > Healthcare IT, Technology Classifications > Computers, Electronics & Software > Image Processing & Analysis, Technology Classifications > Computers, Electronics & Software > Machine Learning, Clinical and Disease Specializations > Ophthalmology > Age-Related Macular Degeneration
Augmented or Virtual Reality Based Evaluation of Visual Field
Sensitive visual field assessment using augmented realityJHU Ref #: C17601Unmet NeedWhile 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 gestures...
Published: 6/27/2025   |   Inventor(s): Ali Saber Tehrani, Arash Saber Tehrani
Keywords(s):  
Category(s): Clinical and Disease Specializations > Ophthalmology, Technology Classifications > Computers, Electronics & Software > Algorithms, Technology Classifications > Computers, Electronics & Software > Machine Learning
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....
Published: 6/27/2025   |   Inventor(s): Amir Manbachi, Haley Abramson, Judy Huang, Henry Brem, Nicholas Theodore, George Coles
Keywords(s):  
Category(s): Clinical and Disease Specializations > Neurology, Clinical and Disease Specializations > Surgery, Technology Classifications > Medical Devices > Imaging, Technology Classifications > Research Tools > Surgical, Technology Classifications > Computers, Electronics & Software > Machine Learning
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 DescriptionResearchers at Johns Hopkins have developed a method for fast processing of data acquired using a triple-layer...
Published: 6/27/2025   |   Inventor(s): Joseph Stayman, Jianan Gang, Xiao Jiang
Keywords(s):  
Category(s): Technology Classifications > Medical Devices > Imaging, Technology Classifications > Diagnostics > Diagnostic Imaging, Technology Classifications > Computers, Electronics & Software > Machine Learning
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...
Published: 6/27/2025   |   Inventor(s): Jeffrey Gray, Jeffrey Ruffolo
Keywords(s):  
Category(s): Copyright, Technology Classifications > Computers, Electronics & Software > Algorithms, Technology Classifications > Computers, Electronics & Software > Artificial Intelligence, Technology Classifications > Computers, Electronics & Software > Machine Learning, Technology Classifications > Research Tools > Antibodies
Machine Learning Algorithm for Delirium Prediction in the Intensive Care Unit
Unmet NeedDelirium 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 patients,...
Published: 6/27/2025   |   Inventor(s): Robert Stevens, Kirby Gong, Akaash Sanyal, Joanna Guo, Ryan Lu, Teya Bergamaschi, Han Kim
Keywords(s):  
Category(s): Clinical and Disease Specializations > Neurology > Dementia, Clinical and Disease Specializations > Neurology > Cognitive Impairment, Clinical and Disease Specializations > Neurology, Technology Classifications > Computers, Electronics & Software > Algorithms, Technology Classifications > Computers, Electronics & Software > Artificial Intelligence, Technology Classifications > Computers, Electronics & Software > Machine Learning, Technology Classifications > Diagnostics > Prognostic Biomarkers
1 2 3 4 5 
2017 - 2022 © Johns Hopkins Technology Ventures. All Rights Reserved. Powered by Inteum