# Modeling Environmental Exposures & Disease

> **NIH NIH P30** · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · 2024 · $26,572

## Abstract

MODELING ENVIRONMENTAL EXPOSURES AND DISEASE FACILITY CORE - ABSTRACT
The Modeling Environmental Exposures and Disease Facility Core (MEED) provides systems modeling as well
as data science methods and computational tools that support and complement field and laboratory studies
conducted by CEED investigators. These methods and tools help to elucidate how environmental exposures can
lead to disease, and to translate these findings to prevention and mitigation strategies that reduce adverse health
outcomes. MEED supports a wide range of computational approaches, applicable across multiple environmental
and biological scales, for assessing and modeling events and processes that occur along the continuum from
source of environmental stressors to human exposures and to target tissue doses and biological responses. In
particular, the Core Co-Directors, Hao Zhu and Panos Georgopoulos have been developing and applying novel
“hybrid” computational frameworks that combine mechanism-driven systems simulations with data-driven
interpretable machine learning methods for predictive toxicology and exposure science applications. MEED
provides support to CEED investigators in quantifying environmental exposures and biological processes
associated with xenobiotics at the systems level, accounting for different system components, interactions, and
functional states. To achieve its goals, MEED has three aims: Aim 1. Provide state-of-the-art data science
(informatics) tools for the analysis and integration of complex heterogeneous socioeconomic, environmental,
chemical, and biological data relevant to environmental health; Aim 2. Develop/adapt mechanistic models for
environmental and biological processes to support spatiotemporal estimation of exposures and simulate internal
doses and processes linking exposures to disease pathogenesis; and Aim 3. Work with community partners and
the Community Engagement Core (CEC) to identify and model exposures and risks of concern at the community
or individual levels as a function of geography, lifestyle/behavior, socioeconomic conditions, and host factors.
The core focuses on overburdened communities and populations at-risk, modeling and translating exposures
and health outcomes associated with intervention strategies developed through our community partnerships.
Examples of projects supported by MEED that will be expanded in scope during the next grant period include:
(a) Modeling climate change dynamics and global-to-local impacts on environmental stressor exposures; a
special focus of this effort is on supporting local Environmental and Climate Justice assessments; (b) Modeling
complex toxic exposures in overburdened and at-risk populations; applications involve PFAS mixtures, air toxics,
mycoestrogens, and others; (c) Modeling multiscale pulmonary and multi-organ toxicodynamic responses to
inhalation of oxidative stress agents such as ozone and nanoparticles; (d) High-throughput toxicity and risk
screening methods for chemi...

## Key facts

- **NIH application ID:** 10830092
- **Project number:** 2P30ES005022-37
- **Recipient organization:** RUTGERS BIOMEDICAL AND HEALTH SCIENCES
- **Principal Investigator:** PANOS G. GEORGOPOULOS
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $26,572
- **Award type:** 2
- **Project period:** 1997-04-01 → 2029-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10830092

## Citation

> US National Institutes of Health, RePORTER application 10830092, Modeling Environmental Exposures & Disease (2P30ES005022-37). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10830092. Licensed CC0.

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