In Silico Modeling and Validation of the Effect of Calcium-Activated Potassium Current on Ventricular Repolarization in Failing Myocytes

Medicine, Basic Medical Sciences, Cardiovascular System, Life Sciences, Biochemistry, Bioengineering, Biophysics,
calcium-activated potassium channels   heart failure   ventricular repolarization   electrophysiological modeling   pharmacological modulation   arrhythmia   atrial fibrillation  

The Effect of Calcium-Activated Potassium Channels (SK Channels) on Repolarization in Failing Ventricular Myocytes—A Computational Modeling Study Research Background and Academic Significance Heart failure (HF) is a severe and prevalent cardiac disease, characterized by a comprehensive deterioration of the heart’s electrophysiological and contracti...

RDGuru: A Conversational Intelligent Agent for Rare Diseases

Information Science, Artificial Intelligence, Medicine, Pediatrics, Basic Medical Sciences, Medical Laboratory Science, Life Sciences, Bioengineering, Genetics,
rare diseases   conversational AI   deep Q-network   medical consultation   large language model   knowledge Q&A   clinical decision-making  

Intelligent Conversational Agent for Rare Diseases—RDGuru: Cutting-edge Technology Powers a New Revolution in Clinical Diagnosis Academic Background and Research Motivation Rare Diseases (RD) refer to disease categories that affect fewer than 6.5 to 10 individuals per 10,000 population. Their individual rarity, complex clinical features, and divers...

Evomoe: Evolutionary Mixture-of-Experts for SSVEP-EEG Classification with User-Independent Training

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering, Biophysics,
brain-computer interface   electroencephalography   evolutionary mixture of experts   individual differences   user-independent training   SSVEP   transfer learning  

Interpretation of “EVOMOE: Evolutionary Mixture-of-Experts for SSVEP-EEG Classification with User-Independent Training” 1. Research Background and Problem Statement Brain-computer interface (BCI) technology has recently shown broad application prospects in neuroengineering, assistive technology for disabilities, rehabilitation, emotion recognition,...

Generative Reconstruction of Multimodal Cardiac Waveforms from a Single Vibrational Cardiography Sensor

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Medical Imaging, Cardiovascular System, Life Sciences, Bioengineering,
cardiac monitoring   generative adversarial network   multimodal waveform   wearable sensor   vibrational cardiography   electrocardiography   non-invasive blood pressure  

Multimodal Cardiovascular Waveform Generation from a Single Vibrational Cardiography Sensor Background Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality worldwide, affecting hundreds of millions of patients each year and imposing a tremendous burden on global healthcare systems. According to literature, billions o...

From Digital Twins in Healthcare to the Virtual Human Twin: A Moon-Shot Project for Digital Health Research

Information Science, Computer Science, Artificial Intelligence, Medicine, Basic Medical Sciences, Medical Imaging, Life Sciences, Bioengineering,
digital twin   virtual human twin   digital health   clinical decision support   personalized health forecasting  

From Digital Twin to Virtual Human Twin: A “Moonshot” Project in Digital Health 1. Academic Background and Research Motivation Currently, the global healthcare system continues to face numerous unmet clinical and social needs, which manifest as a lack of treatment options, insufficient and expensive medical resources, lengthy waiting times, and ina...