Biomarker Image

Biomarker image analysis leverages advanced imaging techniques and machine learning to identify and quantify disease-related features within medical images, aiding in diagnosis and prognosis. Current research emphasizes the development of interpretable deep learning models, such as part-prototype neural networks and explainable boosting machines, to improve diagnostic accuracy and provide insights into the underlying biological mechanisms. This field is significantly impacting healthcare by enabling earlier and more precise disease detection, particularly in areas like Alzheimer's disease, myopia, and various cancers, through the identification of novel image-based biomarkers and improved risk stratification. The integration of multiple imaging modalities and clinical data further enhances predictive power and clinical utility.