Using AI to predict the progression of high-risk localized prostate cancer

Who could benefit from this research

What this research studies

This research focuses on improving the prediction of metastatic progression in high-risk localized prostate cancer among veterans. By utilizing advanced artificial intelligence algorithms, the study aims to analyze digital pathology and radiographic images to identify patterns that indicate the likelihood of metastasis-free survival. The researchers will combine these AI-generated insights with clinical data and social determinants of health to create more accurate prognostic models. This approach seeks to enhance the ability to distinguish between patients who will respond well to treatment and those at risk of severe outcomes.

Why it matters

Where this research is happening

• VA Greater Los Angeles Healthcare System
  Los Angeles, United States Active

Researchers

• Principal investigator: Rettig, Matthew B — VA Greater Los Angeles Healthcare System
• Study coordinator: Rettig, Matthew B

Related research

Other NIH-funded projects on the same topics.

• Deep learning MRI biomarkers to predict prostate cancer outcomes

  A Yale-led project uses advanced MRI images and artificial intelligence to better predict how localized prostate cancer will behave in patients.

  NIH research Yale University · New Haven, United States · NIH-11449993

• Exercise therapy to slow progression in localized prostate cancer on active surveillance

  A study will test whether a structured home-based exercise program helps men with localized prostate cancer who are on active surveillance avoid moving to treatment or worsening, compared with usual care.

  NIH research Beckman Research Institute/city of Hope · Duarte, United States · NIH-11418494

• Biomarkers to identify aggressive prostate cancer early

  A patient-friendly program to find and validate biomarkers in urine and tumor tissue that can flag aggressive prostate cancer early so men can get the right treatment sooner.

  NIH research Old Dominion University · Norfolk, United States · NIH-11415029

• Home walking program for men on active surveillance for low-risk prostate cancer

  This project sees if a year-long home treadmill walking program can change cancer-related markers and help men with low-grade prostate cancer on active surveillance avoid early treatment.

  NIH research Beckman Research Institute/city of Hope · Duarte, United States · NIH-11387134

• Precision pre-surgery therapy for high-risk PTEN-loss prostate cancer

  This grant plans a targeted, pre-surgical treatment for men with high-risk localized prostate cancer who have PTEN loss, using intensified hormone therapy plus an AKT inhibitor before surgery.

  NIH research Portland VA Medical Center · Portland, United States · NIH-11291871

• Better tests to find aggressive early prostate cancer

  This project develops urine and tissue biomarker tests and decision tools to help men with early prostate cancer learn whether their cancer is likely to be aggressive and needs treatment.

  NIH research Old Dominion University · Norfolk, United States · NIH-11191534

About this research

1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.