Consensus on Pediatric Epilepsy Surgery for Young Children

Consensus Study Report on Pediatric Epilepsy Surgery Background Introduction The incidence of epilepsy varies significantly across different age groups. According to the International League Against Epilepsy (ILAE), the highest incidence rates of epilepsy are found among those under 5 years old and over 65 years old (>60 per 100,000 people), with c...

Development of Complemented Comprehensive Networks for Rapid Screening of Repurposable Drugs Applicable to New Emerging Disease Outbreaks

Research on Network Construction and Application of Novel Drug Repositioning Strategies Background During the COVID-19 pandemic, researchers and pharmaceutical companies have been dedicated to developing treatments and vaccines. Drug repositioning, due to its shortcut, is considered a rapid and effective response strategy. Drug repositioning attemp...

Asthma Prediction via Affinity Graph Enhanced Classifier: A Machine Learning Approach Based on Routine Blood Biomarkers

Asthma Prediction Enhanced by Affinity Graph-Based Classifier: A Machine Learning Approach Using Routine Blood Biomarkers Background Asthma is a chronic respiratory disease that affects approximately 235 million people worldwide. According to the World Health Organization (WHO), the main characteristic of asthma is airway inflammation, leading to s...

Predicting Future Disorders via Temporal Knowledge Graphs and Medical Ontologies

Predicting Future Diseases: Integration of Temporal Knowledge Graphs and Medical Ontologies Electronic Health Records (EHRs) are indispensable tools in modern medical institutions. They record detailed health histories of patients, including demographics, medications, lab results, and treatment plans. This data not only improves the coordination an...

Biomedical Relation Extraction with Knowledge Graph-Based Recommendations

Research Report on the Integration of Medical Relation Extraction and Knowledge Graph-Based Recommendations Background Introduction In the medical field, the explosive growth of literature makes it challenging for researchers to keep up with the latest advancements in their specific areas. From the perspective of natural language processing (NLP), ...