Advancements in deep learning for cancer imaging and treatment

TRD 2 - Deep Learning

NIH-funded research Brigham and Women's Hospital · NIH-10992168

This study is working on new ways to use advanced computer technology to make cancer imaging better for patients with brain, prostate, and lung cancers, so doctors can get more accurate pictures and improve treatment results.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionBrigham and Women's Hospital NIH-funded
Lab location1 site (Boston, United States)
Project IDNIH-10992168 on NIH RePORTER

What this research studies

This research focuses on improving deep learning techniques to enhance image-guided therapy for brain, prostate, and lung cancers. It aims to develop innovative tools that can help the medical community better utilize large datasets of medical images, which often lack accurate annotations. By addressing the challenges of creating training data, the research explores methods like weakly-supervised learning and transfer learning to improve the accuracy of cancer imaging. Patients may benefit from more precise imaging techniques that could lead to better treatment outcomes.

Who could benefit from this research

Good fit: Ideal candidates for this research include patients diagnosed with brain, prostate, or lung cancers who may benefit from advanced imaging techniques.

Not a fit: Patients with cancers other than brain, prostate, or lung may not receive direct benefits from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate imaging and treatment options for patients with brain, prostate, and lung cancers.

How similar studies have performed: Previous research has shown promise in using deep learning for medical imaging, indicating that this approach could lead to significant advancements in cancer treatment.

Where this research is happening

Boston, United States

Researchers

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 below.
Conditions anti-cancer research
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.