# PHS 2018-02 Omnibus Solicitation of the NIH, CDC, and FDA for Small Business Innovation Research Gra

> **NIH ALLCDC R44** · MOSAIX SOFTWARE, INC. · 2020 · $444,836

## Abstract

Project Summary/Abstract
This is the phase II application of a NIDA funded SBIR grant titled “Demand Reduction Smart
Tool for Analysis and Research (STAR)” (NIDA Grant 1R43DA041030-01A1). The goal of
Phase II is to develop a commercial grade Self-Service Visual Analysis (SSVA) tool based on
Phase I STAR Prototype empowering decision makers and managers in drug demand reduction
field to make data-driven decisions in managing the current public health crisis: Opioid
Overdose Death Pandemic.
Building on STAR Prototype, phase II project will focus on achieving 4 specific aims:
Specific Aim 1: Expand current data sets collection to cover all aspects of DRIF with a special
focus on opioid overdose death pandemic.
Specific Aim 2: Enhance STAR’s predictive and prescriptive analytic capabilities to make it an
early-warning and intervention planning tool for managing opioid overdose death pandemic.
Specific Aim 3: Develop STAR Prototype into a reliable commercial grade analytic service for
use by multi-level users at scale.
Specific Aim 4: Conduct a pilot testing of STAR service with potential customers from federal,
state, and local levels in preparation for a full scale commercialization in Phase III.

## Key facts

- **NIH application ID:** 10067238
- **Project number:** 5R44CE003170-03
- **Recipient organization:** MOSAIX SOFTWARE, INC.
- **Principal Investigator:** Xiaoyan Zhang
- **Activity code:** R44 (R01, R21, SBIR, etc.)
- **Funding institute:** ALLCDC
- **Fiscal year:** 2020
- **Award amount:** $444,836
- **Award type:** 5
- **Project period:** 2019-09-30 → 2021-09-29

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10067238

## Citation

> US National Institutes of Health, RePORTER application 10067238, PHS 2018-02 Omnibus Solicitation of the NIH, CDC, and FDA for Small Business Innovation Research Gra (5R44CE003170-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10067238. Licensed CC0.

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