Developing software to improve environmental health modeling using AI

Geostatistical Software for Non-Parametric Geostatistical Modeling of Uncertainty

['FUNDING_SBIR_2'] · BIOMEDWARE · NIH-11006986

This study is working on smart software that uses artificial intelligence to help understand how things in our environment can affect our health, so that patients and communities can make better choices to stay safe and healthy.

Quick facts

Phase['FUNDING_SBIR_2']
Study typeNih_funding
SexAll
SponsorBIOMEDWARE (nih funded)
Locations1 site (ANN ARBOR, UNITED STATES)
Trial IDNIH-11006986 on ClinicalTrials.gov

What this research studies

This research focuses on creating advanced software that utilizes artificial intelligence to enhance the modeling of environmental health risks. By integrating various types of secondary data, the software aims to provide accurate predictions and insights into how environmental factors affect health outcomes. The approach combines geostatistics with machine learning to analyze spatial data, allowing for better decision-making and risk assessment. Patients and communities can benefit from improved understanding and management of health risks related to environmental exposures.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals living in areas affected by environmental health risks, such as air pollution or hazardous materials.

Not a fit: Patients who are not exposed to environmental health risks or who do not reside in affected communities may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate assessments of environmental health risks, ultimately improving public health outcomes.

How similar studies have performed: Other research has shown success in using AI and geostatistical methods for environmental health modeling, indicating a promising approach.

Where this research is happening

ANN ARBOR, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Conditions: Colorectal Cancer

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.