Early Diagnosis

Early diagnosis research aims to identify diseases at their earliest stages, improving treatment outcomes and patient quality of life. Current efforts heavily utilize machine learning, employing diverse models like convolutional neural networks (for image analysis), graph neural networks (for integrating multi-modal data), and ensemble methods (for improved accuracy and robustness) to analyze various data types, including medical images, biomarkers, and even handwriting samples. This work holds significant promise for improving diagnostic accuracy and efficiency across numerous diseases, potentially leading to earlier interventions and better patient management.