# Core 1 - Data Handling and Integration

> **NIH NIH U54** · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · 2020 · $250,774

## Abstract

Data Handling and Integration Core – Summary 
The ultimate goal of the MIT/Mayo PS-OC is to develop a multiscale predictive model connecting non-invasive 
imaging (tissue scale) to predicted therapeutic distribution (tissue-cellular scale) and dynamic molecular 
cellular response (cellular-molecular scale). Beyond this over-arching goal, the Data Handling and Integration 
Core will provide key infrastructure to each Project through data management and storage, integration of 
diverse data types, and model construction. The Core will be led by Dr. Douglas Lauffenburger, an expert in 
systems biology and application of engineering principles to biological systems, with over twenty years of 
expertise in developing computational modeling techniques and applying these approaches to extract key 
biological insights from complex systems. Other members of the core include Dr. K. Dane Wittrup, an expert in 
protein engineering and quantitative pharmacology, Dr. Kristin Swanson, an expert in computational modeling 
with strong experience in extracting biological insight from non-invasive imaging techniques, and Dr. Nathalie 
Agar, an expert in MALDI-MSI, stimulated Raman spectroscopy, and imaging of drug distribution in brain 
tumors. Together, these investigators provide the requisite expertise and experience to fulfill each of the Core 
functions. The primary responsibilities of the core include: 
Core Task 1. Manage the data generated by the diverse array of analytical and physical biology methods that 
will be employed in Projects 1 and 2 and extract relevant information from the data files generated by each 
method. 
Core Task 2. Data integration and computational modeling. 
Core Task 3. Construction of a multiscale model predicting spatially resolved drug distribution and drug 
efficacy (molecular and cellular response to therapy) from non-invasive MR imaging.

## Key facts

- **NIH application ID:** 9994238
- **Project number:** 5U54CA210180-05
- **Recipient organization:** MASSACHUSETTS INSTITUTE OF TECHNOLOGY
- **Principal Investigator:** DOUGLAS A LAUFFENBURGER
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $250,774
- **Award type:** 5
- **Project period:** 2016-08-29 → 2022-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9994238

## Citation

> US National Institutes of Health, RePORTER application 9994238, Core 1 - Data Handling and Integration (5U54CA210180-05). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/9994238. Licensed CC0.

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