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 ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
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 ...
News-Medical.Net on MSN
Orphan noncoding RNAs define cancer identity and enable blood-based monitoring
We knew we had something interesting with T3p, a single small RNA found in breast cancer but absent from normal tissue. After being described in 2018, this molecule took our team on a six-year journey ...
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) ...
After being described in 2018, researchers knew they had something interesting with T3p, a single small RNA found in breast cancer but absent from normal tissue. The molecule took the team on a ...
News-Medical.Net on MSN
Digital twin technology guides personalized treatment for brain cancer patients
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the University of Michigan, could help doctors discover which treatment strategies ...
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