A novel long-term prediction model showed promise at estimating the risk for dying of prostate cancer, an analysis published in Annals of Internal Medicine indicated.“We have developed a tool that can ...

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 ...

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 ...

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

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 ...

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

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

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.