cancer diagnostics

Despite missing its primary endpoint, the trial shows a substantial reduction in stage four cancers and earlier detection across multiple tumor types. 

Researchers are exploring both broad multi-cancer tests and targeted approaches for hard-to-detect tumors, but clinical validation is still needed.

A first UK birth from a deceased-donor womb transplant, a billion-dollar siRNA deal for GSK, a sobering setback for early cancer blood tests, and more led the news this week. 

A physics-based urine test shows early promise in detecting bladder cancer recurrence without invasive procedures.

Rather than replacing radiologists, AI is working alongside them to catch cancers earlier and improve screening efficiency.

A new deep learning model combines dermoscopic images with patient data to improve accuracy and reduce false positives.

Methylation profiling of cell-free DNA is opening new possibilities for detecting cancer at its earliest, pre-symptomatic stages, offering a potential breakthrough in how and when disease is found.

Researchers are tapping into the potential of noncoding RNA in the blood to enhance cancer diagnostics. 

Researchers develop sensitive blood-based diagnostics to detect tiny traces of cancer.