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A Multi-modal Deep Learning Method for Ventricular Arrhythmia Risk Stratification
Unmet NeedHypertrophic cardiomyopathy (HCM) is a rare genetic condition (prevalence in adults: 0.2-0.5%) that causes pathologic enlargement of the left ventricle (1). While many HCM patients live normal lives, some are at risk for severe cardiac complications, including sudden cardiac death due to ventricular arrhythmia (VA). VA risk is currently evaluated...
Published: 6/28/2024   |   Inventor(s): Natalia Trayanova, Minglang Yin, Changxin Lai
Keywords(s):  
Category(s): Clinical and Disease Specializations, Clinical and Disease Specializations > Cardiovascular > Arrhythmia, Clinical and Disease Specializations > Cardiovascular > Arrhythmias, Clinical and Disease Specializations > Cardiovascular > Cardiac Arrest, Clinical and Disease Specializations > Cardiovascular > Cardiac Hypertrophy, Clinical and Disease Specializations > Cardiovascular > Heart Failure, Clinical and Disease Specializations > Cardiovascular > Ventricular Dyssynchrony, Clinical and Disease Specializations > Cardiovascular > Ventricular Fibrillation, Clinical and Disease Specializations > Cardiovascular > Ventricular Tachycardia
OPtimal Target Identification via Modeling of Arrhythmogenesis
Unmet Need·        Atrial fibrillation affects millions of patients worldwide, with the number expected to grow 2.5-fold in the next 40 years. (Boyle et al., 2016) Ablation of cardiac tissue around the pulmonary veins is a standard treatment, but fails 20-40% of the time in patients with a type of atrial fibrillation called persistent atrial fibrillation....
Published: 6/28/2024   |   Inventor(s): Natalia Trayanova, Adityo Prakosa, Ryan Bradley, Eugene Kholmovski, Syed Yusuf Ali, Carolyna Yamamoto
Keywords(s):  
Category(s): Clinical and Disease Specializations > Cardiovascular > Arrhythmias, Clinical and Disease Specializations > Cardiovascular, Technology Classifications > Computers, Electronics & Software > Image Processing & Analysis, Technology Classifications > Computers, Electronics & Software > Precision Medicine Tools
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 (SCDA)...
Published: 6/28/2024   |   Inventor(s): Natalia Trayanova, Dan Popescu, Mauro Maggioni, Julie Shade
Keywords(s):  
Category(s): Clinical and Disease Specializations > Cardiovascular, Clinical and Disease Specializations > Cardiovascular > Arrhythmia, Clinical and Disease Specializations > Cardiovascular > Arrhythmias, Clinical and Disease Specializations > Cardiovascular > Cardiac Arrest, Clinical and Disease Specializations > Cardiovascular > Ventricular Tachycardia, Clinical and Disease Specializations > Cardiovascular > Ventricular Fibrillation, Technology Classifications > Computers, Electronics & Software > Algorithms, Technology Classifications > Computers, Electronics & Software > Artificial Intelligence, Technology Classifications > Computers, Electronics & Software > Image Processing & Analysis, Technology Classifications > Computers, Electronics & Software > Machine Learning
An Intraprocedural Automatic Arrhythmia Origin Localization (AAOL) System
Unmet NeedAbnormal cardiac rhythms are often fatal. Specifically, ventricular arrhythmias, caused by abnormal electrical signals in the ventricles, cause 75 to 80% of sudden cardiac deaths every year. To prevent abnormal electrical activity in patients with various idiopathic ventricular tachycardias (IVA), radiofrequency intracardiac catheter ablation...
Published: 6/28/2024   |   Inventor(s): Natalia Trayanova, Shijie Zhou, Jonathan Chrispin, John Sapp, Amir AbdelWahab
Keywords(s):  
Category(s): Clinical and Disease Specializations > Cardiovascular > Ventricular Tachycardia, Technology Classifications > Computers, Electronics & Software > Algorithms
Non-invasive Method to Localize Regions Susceptible to Reentry Using 3D Computational Modelling and Reentry Vulnerability Index Mapping
Unmet NeedLife threatening ventricular tachycardia (VT) is a precursor of sudden cardiac death. VT may occur in patients with weakened heart muscle such as in the case of myocardiopathy and/or chronic myocardial infarction (MI). Radiofrequency catheter ablation is applied to regions of conduction delay to treat and or prevent the recurrence of these...
Published: 6/28/2024   |   Inventor(s): Natalia Trayanova, Ryan O'Hara, Ruben Coronel, Pouya Jelvehgaran
Keywords(s):  
Category(s): Clinical and Disease Specializations > Cardiovascular > Myocardial Infarction, Clinical and Disease Specializations > Cardiovascular > Ventricular Tachycardia, Technology Classifications > Computers, Electronics & Software, Technology Classifications > Computers, Electronics & Software > Clinical Management
Detection of Prostate Cancer Proteins in Serum for Cancer Diagnosis with a Blood Test
There is a crucial need of discovering novel biomarkers in addition to prostate specific antigen (PSA) to improve the specificity of clinical diagnosis for prostate cancer. This invention addresses this problem by discovering proteins from prostate cancer tissues that can be detected in patients’ blood. Hence, a blood test can be developed for detecting...
Published: 6/27/2024   |   Inventor(s): Yan Li, Daniel Chan, Zhen Zhang, Lori Sokoll, Hui Zhang
Keywords(s): Assay, Cancers, Clinical Diagnostics, Disease Indication, In Vitro Diagnostics, Prostate Cancer
Category(s): Clinical and Disease Specializations, Clinical and Disease Specializations > Men's Health, Technology Classifications > Diagnostics > In Vitro Diagnostics, Technology Classifications > Research Tools > Assays, Technology Classifications > Diagnostics, Clinical and Disease Specializations > Oncology, Technology Classifications > Research Tools, Clinical and Disease Specializations > Oncology > Prostate Cancer
Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction
Unmet NeedHeart disease is the leading cause of death worldwide with 30.3 million Americans diagnosed with heart disease in 2018, according to the CDC. The leading diagnostic method is to identify myocardial fibrosis (scarring), which is a leading indicator of sudden cardiac death (SCD). Current image segmentation involves cardiac magnetic resonance...
Published: 6/28/2024   |   Inventor(s): Natalia Trayanova, Haley Abramson, Dan Popescu, Mauro Maggioni, Katherine Wu
Keywords(s):  
Category(s): Clinical and Disease Specializations > Cardiovascular, Technology Classifications > Diagnostics > Diagnostic Imaging, Technology Classifications > Computers, Electronics & Software > Artificial Intelligence
Personalized Heart Modeling Using Intramyocardial Fat Deposition on Computed Tomography to Predict Ablation Targets
Unmet NeedVentricular tachycardia (VT) is a life-threatening arrhythmia that contributes significantly to the mortality and morbidity of cardiovascular patients. Catheter ablation of VTs can potentially be curative, but recurrence rates remain unacceptably high. Major technological advancements in VT ablation are often highly invasive, time-consuming,...
Published: 6/28/2024   |   Inventor(s): Natalia Trayanova, Eric Sung, Adityo Prakosa, Shijie Zhou
Keywords(s):  
Category(s): Clinical and Disease Specializations > Cardiovascular > Ventricular Tachycardia, Technology Classifications > Computers, Electronics & Software
Simulation Prediction of Optimal Targets for Catheter Ablation of Left Atrial Flutter in Patients with Atrial Structural Remodeling
Unmet NeedLeft atrial flutter (LAFL) is a common atrial arrhythmia that develops in up to 31% of patients who had prior cardiac surgery or atrial fibrillation ablation. LAFL is caused by the presence of a reentrant circuit, which occurs when an electrical impulse continues to propagate and re-excite cardiac tissue, leading to uncoordinated, repeated...
Published: 6/27/2024   |   Inventor(s): Natalia Trayanova, Sohail Zahid, Patrick Boyle
Keywords(s): Discovery/Research Tools, In Vitro Research Tool, Target-based Screening Tool
Category(s): Technology Classifications > Diagnostics > In Vitro Diagnostics, Technology Classifications > Research Tools, Technology Classifications > Diagnostics
Using Patient-Specific Modeling of the Heart for Prediction of Optimal Targets for Catheter Ablation of Ventricular Tachycardia in Patients with Myocardial Infarction or Fibrosis and ICDs
Unmet NeedVentricular tachycardia (VT) is a heart rhythm disorder that affects hundreds of thousands of Americans every year. VT is defined as an irregular accelerated heart rate due to abnormal electrical signaling in the heart’s lower chambers. Implantable Cardioverter Defibrillators (ICDs) can protect high-risk patients from sudden cardiac arrest...
Published: 6/27/2024   |   Inventor(s): Natalia Trayanova, Sohail Zahid, Adityo Prakosa
Keywords(s): Discovery/Research Tools, Heat Intervention, In Vitro Research Tool, Interventional and Surgical Systems, Surgical Intervention Method, Target-based Screening Tool
Category(s): Technology Classifications > Diagnostics > In Vitro Diagnostics, Technology Classifications > Research Tools, Technology Classifications > Medical Devices, Technology Classifications > Therapeutic Modalities, Technology Classifications > Diagnostics
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