Heart

Coronary heart disease

Breakthrough in Heart Disease Diagnosis: Gemini SERS Platform Reveals Early Warning Signs

Researchers from Nanjing Medical University have developed a dual-signal surface-enhanced Raman scattering (SERS) platform, dubbed Gemini, to detect early warning signs of heart disease. The platform integrates antibody-functionalized gold nanoparticles for protein recognition and a boronate-based SERS nanotag responsive to hydrogen peroxide generated from a pyruvate oxidase-mediated cascade. This innovative

Defibrillators

Advances in Sudden Cardiac Death Prevention through the Extravascular Implantable Cardioverter-Defibrillator (EV-ICD)

Researchers at Medizinische Hochschule Hannover have made significant progress in preventing sudden cardiac death through the development of the extravascular implantable cardioverter-defibrillator (EV-ICD). This innovative device offers a fully extravascular alternative to traditional transvenous ICDs, reducing the risk of intravascular complications while maintaining comparable generator size and longevity. The EV-ICD

Fibrillation

Leadless Pacemakers and Extravascular ICDs: Safe Coexistence for Ventricular Fibrillation Prevention

Researchers at Scripps Memorial Hospital have made significant breakthroughs in the development of leadless pacemakers and extravascular implantable cardioverter-defibrillators (ICDs). These innovations offer promising alternatives for patients requiring both defibrillation and pacing, particularly those unable or unwilling to accommodate traditional leads. However, the interactions between extravascular ICDs and leadless pacemakers

Heart

Enhanced Heart Disease Diagnosis and Management: A Multi-Phase Framework Leveraging Deep Learning and Personalized Nutrition

A novel research study has made significant breakthroughs in heart disease diagnosis and management by proposing a multi-tiered data acquisition model that utilizes deep learning methods. The study, conducted by researchers at Maharshi Dayanand University, aimed to develop an accurate diagnosis system for heart disease using a data-driven forecasting framework.

Heart

Enhanced Heart Disease Diagnosis and Management: A Multi-Phase Framework Leveraging Deep Learning and Personalized Nutrition

A novel research study has made significant breakthroughs in heart disease diagnosis and management by proposing a multi-tiered data acquisition model that utilizes deep learning methods. The study, conducted by researchers at Maharshi Dayanand University, aimed to develop an accurate diagnosis system for heart disease using a data-driven forecasting framework.

Artificial intelligence

Artificial Intelligence Enhances Heart Failure Screening in Community Settings

Recent research from Wroclaw, Poland, has identified the potential of artificial intelligence (AI) in detecting patients with subclinical cardiac dysfunction and predicting incident heart failure risk. The study, published in ESC Heart Failure, highlights the significance of AI in facilitating non-expert acquisition and interpretation of echocardiography, thereby enhancing the value