Cancer Related

Cancer research is increasingly leveraging artificial intelligence (AI) to improve early detection, risk assessment, and treatment strategies. Current efforts focus on developing and validating machine learning models, particularly those based on deep learning architectures like Vision Transformers and gradient boosting, to analyze diverse data including pathology images, clinical records, and patient demographics. These models aim to enhance the accuracy and efficiency of cancer diagnostics, risk stratification, and ultimately, patient outcomes. The integration of AI into cancer care holds significant promise for improving screening, personalized medicine, and the overall management of this global health challenge.