# METEOR-Integrated Training Environment (METEORITE)

> **NIH NIH U54** · WASHINGTON UNIVERSITY · 2024 · $42,097

## Abstract

Project Summary
Through existing advances in the field of radiation oncology, it has become clear that success is best
achieved when experts in biology, physics, and clinical medicine collaborate. However, as technology
and treatment paradigms grow more complex, it has become increasingly difficult for experts to
maintain cutting-edge specialization in their own specific discipline and at the same time, converge to
facilitate multi-disciplinary collaboration. While current graduate training does expose trainees to fields
outside their own, this exposure is insufficient to develop meaningful research collaborations across
the modern oncology workforce. A formal training program that can provide both breadth and depth in
the theme areas of tumor biology, tumor immune microenvironment, advanced imaging and treatment
technologies, and informatics is needed to allow trainees to develop a set of common cross-disciplinary
fundamentals that can then be used to accelerate multidisciplinary research in radiation oncology.
Given the amount of data generated in the fields of cancer biology, medical physics, and clinical
radiation oncology, we envision that our ROBIN program cross training core, METEORITE (METEOR
Integrated Training Environment), will use data science and informatics as the common language to
facilitate communication and promote interdisciplinary collaboration, with the ultimate goal of leveraging
this model across the ROBIN network to increase collaboration among the larger oncology workforce.
In Aim 1, we will first develop an interdisciplinary training program within our own METEOR ROBIN
Center by integrating pre-existing courses and established training programs to support METEOR and
related science. Trainees will develop an individualized training pathway that will allow them to partake
in common coursework while also customizing their learning. In Aim 2, we will develop new digital
content resources for key high need topics such as clinical trial design and the fundamentals of TME
for non-specialists to be used within METEORITE but also disseminated across the wider ROBIN
network. Finally, in Aim 3, we will develop and host both in-person and virtual seminar series and
symposia to promote trainee cohesion within METEOR and across the ROBIN network. The goal of
these seminar series and symposia is to develop leadership skills among ROBIN network trainees and
also to ensure our developed content can be disseminated and used to promote interdisciplinary
collaboration in the future workforce. Through funding of METEORITE, we will generate resources and
career development expertise that will facilitate a future NIH T32 application focused on training,
disseminating and advancing multidisciplinary informatic partnerships radiation oncology.

## Key facts

- **NIH application ID:** 10912711
- **Project number:** 5U54CA274318-02
- **Recipient organization:** WASHINGTON UNIVERSITY
- **Principal Investigator:** Geoffrey D Hugo
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $42,097
- **Award type:** 5
- **Project period:** 2023-09-01 → 2028-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10912711

## Citation

> US National Institutes of Health, RePORTER application 10912711, METEOR-Integrated Training Environment (METEORITE) (5U54CA274318-02). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10912711. Licensed CC0.

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