Zhejiang Cancer Hospital

This study aims to create a screening tool that uses common blood test results to detect various cancers early. Researchers will analyze data from 10 million cancer patients and healthy individuals, using machine learning to find patterns. The goal is a low-cost, non-invasive tes…

This observational study of 70 pancreatic cancer patients aims to build a model that predicts how well a patient will respond to chemoprevention combined with targeted therapy. Researchers will analyze tumor tissue and blood samples using advanced techniques like spatial transcri…

This study aims to develop a way to predict which patients with advanced pancreatic cancer will respond to immunotherapy. Researchers will collect tumor tissue, blood, and stool samples from 100 participants before and during treatment. By analyzing these samples, they hope to cr…