A2DM: Enhancing EEG Artifact Removal by Fusing Artifact Representation into the Time-Frequency Domain

Academic Background Electroencephalogram (EEG) is a crucial tool for studying brain activity, widely used in neuroscience, clinical diagnosis, and brain-computer interfaces. However, EEG signals are often contaminated by various artifacts during acquisition, such as electrooculography (EOG) and electromyography (EMG). These artifacts significantly ...

Curriculum-Guided Self-Supervised Representation Learning of Dynamic Heterogeneous Networks

Academic Background In the real world, network data (such as social networks, citation networks, etc.) often contain multiple types of nodes and edges, and these network structures evolve dynamically over time. To better analyze these complex networks, researchers have proposed network embedding techniques, which aim to represent nodes and edges in...

Predictive Model for Daily Risk Alerts in Sepsis Patients in the ICU: Visualization and Clinical Analysis of Risk Indicators

Sepsis is a systemic inflammatory response syndrome triggered by infection, often leading to multiple organ failure and high mortality rates. Although modern medical technology has made significant progress in the treatment of sepsis, some patients still die due to the rapid deterioration of their condition. Therefore, accurately predicting the mor...

Deep Learning-Based Multi-Modal Data Integration Enhancing Breast Cancer Disease-Free Survival Prediction

Breast cancer is one of the most common malignancies among women worldwide. Although early intervention and appropriate treatment have significantly improved patient survival rates, approximately 30% of cases still experience recurrence and distant metastasis, resulting in a 5-year survival rate of less than 23%. Traditional clinical prediction met...

GutBugDB: A Web Resource to Predict the Human Gut Microbiome-Mediated Biotransformation of Biotic and Xenobiotic Molecules

In recent years, the significant role of the human gut microbiota (HGM) in the metabolism of drugs and nutrients has gradually been recognized. The gut microbiota not only affects the bioavailability of orally administered drugs but also participates in the biotransformation of drugs and bioactive molecules through its metabolic enzymes, thereby in...

Significance in Scale Space for Hi-C Data Analysis

In the field of genomics, understanding the spatial organization of the genome is crucial for uncovering gene regulatory mechanisms. Hi-C technology, as a genome-wide chromosome conformation capture technique, can reveal the three-dimensional structure of the genome, particularly the key role of chromatin loops in gene regulation. However, existing...