This trial is designed to evaluate the safety and effectiveness of the novel OCS Solution and OCS Functional Enhancer (OFE) to support FDA approval in both DBD and DCD heart transplantation. In addition, this trial will evaluate the performance of the novel OCS Solution and OFE compared to Static Cold Storage (SCS) in DBD heart transplantation to potentially demonstrate superiority.

This study is testing a new treatment for people with a dangerous heart rhythm problem called ventricular tachycardia (VT). VT can cause the heart to beat too fast, leading to fainting, heart failure, or even sudden death. Some people continue to have VT even after taking medicines and undergoing standard ablation procedures. For these patients, current treatment options are very limited.

The investigational treatment uses the Thermedical Ablation System with the Durablate™ catheter. This device delivers both heat and saline (salt water) deep into the heart muscle to target the areas causing abnormal rhythms. The goal is to safely and effectively reduce or eliminate VT episodes in patients who have not responded to other therapies.

About 130 patients will be enrolled at up to 25 hospitals in the U.S. and Canada. Participants will have the procedure and then be followed for six months with regular checkups to see if the treatment reduces their VT episodes and improves their quality of life. This study will help determine if the new system should be approved for wider clinical use.

SV-ONE represents the integration of NPC-QIC within the existing FON framework. As such, SV-ONE will engage in research and improvement efforts through the entire lifespan of patients with SVHD, including but not limited to those with a Fontan circulation. The larger objective of this study is to increase longevity and enhance the QoL by improving physical health and functioning, mental health and resilience, and neurodevelopment for individuals with SVHD and their families. A longer-term goal of SV-ONE will be to serve as a platform for research and improvement that will
accelerate advances, with the potential to nest clinical trials and to link to registries and programs,
nationally and internationally.

The purpose of this research is to assess the safety and effectiveness of the ASG device in the treatment of de novo Type A aortic dissections.

This study will have a 1:1:1 randomization post the implantation of the WATCHMAN DLX Pro Device comparing three different medications used after the WATCHMAN FLX Pro Device is placed. The goal of this study is to see how safe and effective the medications are after the device is placed. The three different arms include the following: Aspirin only for 12-month study duration, reduce dose non-vitamin K antagonist (VKA) oral anticoagulant (NOAC), either commercially available apixaban (preferred) or rivaroxaban for first 3-months, followed by aspirin, or Aspirin +clopidogrel) for first 6 months followed by aspirin only.

In this study, we will look back at past medical records to test how well two computer-based tools can help spot two types of heart disease: hypertrophic cardiomyopathy (HCM) and a form of cardiac amyloidosis called transthyretin amyloidosis (ATTR). One tool analyzes heart ultrasound images (echocardiograms) using artificial intelligence to identify signs of these conditions. The other tool looks at patterns in electronic health records—like diagnoses, test results, and medications—to flag patients who may have HCM or ATTR. Our goal is to see how accurate and useful these tools are in finding patients who may need further evaluation or care.

In this study, we will look back at past medical records to test how well two computer-based tools can help spot two types of heart disease: hypertrophic cardiomyopathy (HCM) and a form of cardiac amyloidosis called transthyretin amyloidosis (ATTR). One tool analyzes heart ultrasound images (echocardiograms) using artificial intelligence to identify signs of these conditions. The other tool looks at patterns in electronic health records—like diagnoses, test results, and medications—to flag patients who may have HCM or ATTR. Our goal is to see how accurate and useful these tools are in finding patients who may need further evaluation or care.

In this study, we will look back at past medical records to test how well two computer-based tools can help spot two types of heart disease: hypertrophic cardiomyopathy (HCM) and a form of cardiac amyloidosis called transthyretin amyloidosis (ATTR). One tool analyzes heart ultrasound images (echocardiograms) using artificial intelligence to identify signs of these conditions. The other tool looks at patterns in electronic health records—like diagnoses, test results, and medications—to flag patients who may have HCM or ATTR. Our goal is to see how accurate and useful these tools are in finding patients who may need further evaluation or care.

In this study, we will look back at past medical records to test how well two computer-based tools can help spot two types of heart disease: hypertrophic cardiomyopathy (HCM) and a form of cardiac amyloidosis called transthyretin amyloidosis (ATTR). One tool analyzes heart ultrasound images (echocardiograms) using artificial intelligence to identify signs of these conditions. The other tool looks at patterns in electronic health records—like diagnoses, test results, and medications—to flag patients who may have HCM or ATTR. Our goal is to see how accurate and useful these tools are in finding patients who may need further evaluation or care.

In this study, we will look back at past medical records to test how well two computer-based tools can help spot two types of heart disease: hypertrophic cardiomyopathy (HCM) and a form of cardiac amyloidosis called transthyretin amyloidosis (ATTR). One tool analyzes heart ultrasound images (echocardiograms) using artificial intelligence to identify signs of these conditions. The other tool looks at patterns in electronic health records—like diagnoses, test results, and medications—to flag patients who may have HCM or ATTR. Our goal is to see how accurate and useful these tools are in finding patients who may need further evaluation or care.