Nanfang Hospital, Southern Medical University

This study aimed to see if a special type of stem cell (hAESC) could safely prevent acute graft-versus-host disease (aGVHD) in people receiving a stem cell transplant for blood cancer. The trial was withdrawn before any participants were enrolled, so no results are available. The…

This study looked at 17 adults with intermediate to advanced liver cancer that could not be removed by surgery. They received a sequence of three treatments: a procedure to block the tumor's blood supply (TACE), precise radiation (SBRT), and drugs that help the immune system atta…

This study is testing a new artificial intelligence (AI) tool that looks at medical images, lab results, and patient information to help doctors better diagnose and treat cancer. The goal is to see if the AI can accurately classify tumors, predict treatment responses, and support…

This study uses artificial intelligence to analyze pathology slides and medical images from 2000 cancer patients. The goal is to help doctors better classify tumors, predict treatment responses, and personalize care. Participants must be 18-75 with complete medical records and sl…

This study is developing an artificial intelligence model to automatically interpret CLDN18.2 protein levels in digestive system tumors. Researchers will use pathology samples from 2,000 patients to train and validate the AI, aiming to make testing more consistent and objective. …

This study reviewed medical records of 500 adults with esophageal cancer treated between 2017 and 2024 at one hospital. Researchers looked at patient details, lab results, tumor features, and treatments to find which factors most affect survival. The goal is to better understand …

This study is testing a computer model that uses patient data to predict the best treatment plan for people with advanced head and neck cancer. The goal is to help doctors choose the right therapy after surgery, improving survival and reducing unnecessary side effects. About 571 …