
Over the last decade, machine learning (ML) algorithms have been successfully applied to medical image classification, enabling the identification of disease patterns1, 2, 3–4. For instance, algorithms developed as part of the prostate cancer grade assessment (PANDA) challenge have successfully...

Prostate cancer continues to pose a major global public health challenge, with its burden differing widely across regions due to variations in genetics, environmental exposures, and socioeconomic conditions [1, 2]. Globally, it ranks as the second most frequently diagnosed malignancy among men, accounting...

Prostate cancer is the second most commonly diagnosed cancer in men worldwide. Prostate biopsies are essential for diagnosis but often induce significant pain and anxiety despite local anesthesia. Virtual reality (VR) has emerged as a promising non-pharmacological tool for pain management during medical...

Germline and somatic DNA damage response (DDR) gene mutations are harbored by approximately 12% and 23%, respectively, of patients with metastatic prostate cancer (PCa) [1], representing additional targetable elements for the treatment of PCa. The DDR protein ataxia telangiectasia and Rad3-related (ATR)...