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 ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most ...

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 ...

"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 ...

Complex digital images of tissue samples that can take an experienced pathologist up to 20 minutes to annotate could be ...