Improving cancer treatment using advanced data science and AI

Shared Resource Core 1: Molecular Data Science and Advanced Dosimetry

['FUNDING_OTHER'] · DANA-FARBER CANCER INST · NIH-11193570

This study is looking at how certain childhood brain tumors and nerve tumors react to radiation treatment, using smart technology to find out why some tumors resist the therapy, so we can create better, more personalized treatment options for kids.

Quick facts

Phase['FUNDING_OTHER']
Study typeNih_funding
SexAll
SponsorDANA-FARBER CANCER INST (nih funded)
Locations1 site (BOSTON, UNITED STATES)
Trial IDNIH-11193570 on ClinicalTrials.gov

What this research studies

This research focuses on enhancing our understanding of how pediatric tumors, specifically diffuse midline gliomas and neuroblastoma, respond to radiation therapy. By utilizing advanced data science techniques and artificial intelligence, the project aims to analyze the complex interactions within tumors and their microenvironments. The goal is to identify factors that contribute to radiation resistance and response, ultimately leading to more effective treatment strategies. Patients may benefit from improved therapeutic approaches tailored to their specific tumor characteristics.

Who could benefit from this research

Good fit: Ideal candidates for this research are children diagnosed with diffuse midline gliomas or neuroblastoma.

Not a fit: Patients with other types of cancers or those not undergoing radiation therapy may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more effective radiation therapies for pediatric cancers, improving survival rates and quality of life for young patients.

How similar studies have performed: Previous research has shown promising results using data science and AI to improve cancer treatment outcomes, indicating that this approach has the potential for significant advancements.

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.

View on NIH RePORTER →

Conditions: Cancers

Last reviewed 2026-05-15 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.