Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...
University of Texas at Dallas researchers have developed biosensor technology that, when combined with artificial ...
OAK BROOK, Ill. – An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive ...
In earlier times, cells would have to be hand-checked, in a process that took time and effort and offered little reward.
In A Nutshell A handheld breath sensor read eight chemicals and flagged lung cancer risk in a 67-person study. Accuracy was ...
Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...
A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...