The innovative “fragmentomics” approach could one day allow doctors to identify cancer in patients sooner than possible today using smaller blood draws LOS ANGELES--(BUSINESS WIRE)--Researchers at ...

For over three decades, a highly accurate early diagnostic test for ovarian cancer has eluded physicians. Now, scientists in the Georgia Tech Integrated Cancer Research Center (ICRC) have combined ...

A new cfDNA-based blood test uses AI to detect bladder, prostate, and kidney cancers early, offering a faster, safer, and ...

A predictive model utilizing serum metabolic profiles was able to distinguish ovarian cancer from control samples with 93% accuracy, according to a new study. Machine learning–based classification ...

"Skin cancer, particularly melanoma, is a disease in which early detection is critically important for determining survival rates," says Prof. Jeon. "Since melanoma is difficult to diagnose based ...

In A Nutshell A handheld breath sensor read eight chemicals and flagged lung cancer risk in a 67-person study. Accuracy was 85.71% using the device alone and 92.86% when paired with GC–MS in analysis.

What are the benefits and challenges of using multiomics approaches to discover cancer biomarkers? Multiomics means that scientists are measuring more than one class of analyte, such as DNA, RNA, or ...

Network meta-analysis (NMA) to assess comparative efficacy of lenvatinib plus pembrolizumab compared with other first-line treatments for management of advanced renal cell carcinoma (aRCC). This is an ...

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...