Prognostic Biomarkers

Prognostic biomarkers are measurable indicators predicting disease progression and patient outcomes, primarily aiming to personalize treatment and improve patient care. Current research heavily utilizes machine learning, particularly deep learning architectures like transformers and convolutional neural networks, to analyze high-dimensional data such as gene expression profiles, medical images (MRI, WSIs), and immune receptor repertoires, identifying key biomarkers for various cancers (e.g., lung, breast, colorectal, glioma, AML). This work is significant because accurate prognostication enables more effective treatment strategies, leading to improved patient survival and quality of life.