Tumor Growth

Tumor growth research focuses on understanding and predicting tumor expansion to improve cancer diagnosis and treatment. Current efforts leverage deep learning, particularly convolutional neural networks (CNNs) and neural ordinary differential equations (NODEs), often integrated with biophysical models (e.g., reaction-diffusion equations) to improve segmentation accuracy and personalize predictions based on patient-specific data like MRI scans and genomic information. These advancements aim to enhance the precision of tumor boundary delineation, predict tumor behavior, and ultimately guide personalized treatment strategies, improving patient outcomes.