Thanks to early detection and aggressive treatment for prostate cancer, 97 percent of all men diagnosed with the disease will survive at least 5 years and nearly 80 percent will survive at least a ...

Advanced imaging, particularly PSMA PET scans, enhances detection of microscopic disease, allowing for more precise treatment ...

University Hospitals Seidman Cancer Center researchers have developed a tool that could identify metastatic prostate cancer ...

Researchers at the Icahn School of Medicine at Mount Sinai have developed an advanced artificial intelligence (AI)-driven tool to improve the management and prognosis of prostate cancer. Recent ...

A new study published in Nature Communications provides a framework for researching whether earlier, model-guided treatment intensification can meaningfully improve survival for patients with ...

A new study is set to investigate how AI could significantly improve doctors’ decisions regarding prostate cancer treatment. While diagnostic methods for the disease have become safer and more precise ...

Prostate cancer is the second-leading cause of cancer death in American men. About 1 in 8 men will be diagnosed with prostate ...

A newly developed long-term prediction model demonstrated greater accuracy in estimating prostate cancer–specific mortality compared with existing risk assessment tools. Unlike traditional ...

England is testing a new artificial intelligence (AI) tool to speed prostate cancer diagnoses, which may save men from weeks of uncertainty about their health. The tool, which will be piloted through ...

A polygenic risk score was able to detect a high proportion of clinically significant prostate cancer. Cancer would not have been detected in 71.8% of patients with the use of PSA or MRI screening.

The UCLA trial is currently enrolling patients.