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 ...

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

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 ...

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.

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

In this cohort study, a novel prognostic model was developed to estimate prostate cancer-specific mortality (PCSM) while ...

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 ...

The UCLA trial is currently enrolling patients.

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

For men at the highest risk of prostate cancer as determined by a polygenic risk score, the percentage found to have clinically significant disease was higher than the percentage that would have been ...