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.

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 ...

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. Details on ...

Increasing use of blood tests to detect prostate cancer is leading to overworked doctors. NTNU has now created an AI diagnostic tool that can help lighten the burden. Diagnostic tools based on ...

Prostate cancer is the most common form of cancer among men in Western countries. The disease is naturally linked to aging. Professor Tone Frost Bathen at NTNU leads a number of research projects on ...

Researchers have developed a simple new tool that can identify the risk level of metastatic prostate cancer patients earlier. At the time of diagnosis, the test can predict how well the patient will ...

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 ...

Financial Distress Screening and Financial Navigation Among Adolescents and Young Adults Within the National Cancer Institute Community Oncology Research Program: Results of the 2022 Landscape Survey ...

Please provide your email address to receive an email when new articles are posted on . A new model showed greater accuracy at predicting prostate cancer mortality vs. existing tools. It incorporates ...