Biomarker Detection

Biomarker detection research focuses on developing accurate and efficient methods for identifying specific biological indicators of disease from various data sources, such as medical images and genetic information. Current efforts leverage machine learning, particularly deep learning architectures like convolutional neural networks and vision transformers, often employed in ensemble methods to improve diagnostic accuracy across diverse applications including ophthalmology and neurodegenerative diseases. These advancements offer the potential for earlier and more precise disease diagnosis, personalized treatment strategies, and improved patient outcomes by enabling faster and more objective biomarker identification than traditional methods.