# BIOINFORMATICS SUPPORT FOR DNTP & DIR

> **NIH NIH N01** · SCIOME, LLC · 2024 · $400,000

## Abstract

Morphological assessments via high content imaging of HepaRG cells or whole organisms such as zebrafish is commonly performed for toxicity and hazard assessment. Contractor provides machine learning powered image analysis of such data for automated classification, segmentation and quantification of morphological changes post exposure. Example projects include SEAZIT collaboration.

## Key facts

- **NIH application ID:** 11218779
- **Project number:** 75N96022C00005-P00003-9999-4
- **Recipient organization:** SCIOME, LLC
- **Principal Investigator:** Ruchir Shah
- **Activity code:** N01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $400,000
- **Award type:** —
- **Project period:** 2022-09-24 → 2024-03-23

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11218779

## Citation

> US National Institutes of Health, RePORTER application 11218779, BIOINFORMATICS SUPPORT FOR DNTP & DIR (75N96022C00005-P00003-9999-4). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/11218779. Licensed CC0.

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