The Southend Hospital site has now installed the second of two new state-of-the-art radiotherapy machines.

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

UT biochemistry major Milit Patel collaborated with researchers at Memorial Sloan Kettering Cancer Center on research published in a top cancer journal.

We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...

Large-scale protein and gene profiling have massively expanded the landscape of cancer-associated proteins and gene mutations, but it has been difficult to discern whether they play an active role in ...

The review demonstrated a rise in publications related to AI/machine learning cancer pain research, with 1 article published between 2006 and 2009 and 26 published between 2020 and 2023. Artificial ...

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer ...