# Analytics, BioStatistics, and Machine Learning Module

> **NIH NIH P30** · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2024 · $83,973

## Abstract

SUMMARY – ANALYTICS, BIOSTATISTICS, AND MACHINE LEARNING MODULE
The Analytics, Biostatistics, and Machine Learning (ABML) module integrates expertise in the Departments of
Ophthalmology, Pediatrics, and Biostatics in an innovative approach to create access to modern computational
analysis of integrated datasets. Our participating faculty generate a tremendous amount of data from a variety
of sources, including de-identified medical records, retinal imaging, tissue imaging, physiological recordings
from members of our cortical vision faculty, performance-based tests, molecular data from metabolomics,
microbiome, RNA-Seq, ATAC-Seq, single-cell/nuclei RNA- and ATAC-Seq, and ChIP-Seq. The ABML module
will connect people generating data with module personnel who are experts in biostatistics, statistical
modeling, machine learning, and deep learning methodologies. The overall goal is to provide high-level
analytical guidance, accelerate and enhance research discovery, and promote new collaborations between
data-generating and analytical scientists. Modular activities will also be available for the training of our students
and postdocs and increasing synergistic interactions between the P30 participating faculty.

## Key facts

- **NIH application ID:** 10939619
- **Project number:** 2P30EY008098-36
- **Recipient organization:** UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- **Principal Investigator:** Marlene Behrmann
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $83,973
- **Award type:** 2
- **Project period:** 1997-04-01 → 2029-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10939619

## Citation

> US National Institutes of Health, RePORTER application 10939619, Analytics, BioStatistics, and Machine Learning Module (2P30EY008098-36). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10939619. Licensed CC0.

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