Centralized Health and Exposomic Resource (C-HER): Analytic and AI-Ready Data for External Exposomic Research
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912689789337600 |
|---|---|
| author | Hanson, Heidi A. Ramsay, Joemy Grant, Josh Davis, Maggie Agbaje, Janet O. Maguire, Dakotah Logan, Jeremy Taddie, Marissa Melton, Chad MacFarland, Midgie VanDerslice, James |
| author_facet | Hanson, Heidi A. Ramsay, Joemy Grant, Josh Davis, Maggie Agbaje, Janet O. Maguire, Dakotah Logan, Jeremy Taddie, Marissa Melton, Chad MacFarland, Midgie VanDerslice, James |
| contents | The Centralized Health and Exposomic Resource (C-HER) project has identified, profiled, spatially indexed, and stored over 30 external exposomic datasets. The resulting analytic and AI-ready data (AAIRD) provides a significant opportunity to develop an integrated picture of the exposome for health research. The exposome is a conceptual framework designed to guide the study of the complex environmental and genetic factors that together shape human health. Few composite measures of the exposome exist due to the high dimensionality of exposure data, multimodal data sources, and varying spatiotemporal scales. We develop a data engineering solution that overcomes the challenges of spatio-temporal linkage in this field. We provide examples of how environmental data can be combined to characterize a region, model air pollution, or provide indicators for cancer research. The development of AAIRD will allow future studies to use ML and deep learning methods to generate spatial and contextual exposure data for disease prediction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_03750 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Centralized Health and Exposomic Resource (C-HER): Analytic and AI-Ready Data for External Exposomic Research Hanson, Heidi A. Ramsay, Joemy Grant, Josh Davis, Maggie Agbaje, Janet O. Maguire, Dakotah Logan, Jeremy Taddie, Marissa Melton, Chad MacFarland, Midgie VanDerslice, James Applications The Centralized Health and Exposomic Resource (C-HER) project has identified, profiled, spatially indexed, and stored over 30 external exposomic datasets. The resulting analytic and AI-ready data (AAIRD) provides a significant opportunity to develop an integrated picture of the exposome for health research. The exposome is a conceptual framework designed to guide the study of the complex environmental and genetic factors that together shape human health. Few composite measures of the exposome exist due to the high dimensionality of exposure data, multimodal data sources, and varying spatiotemporal scales. We develop a data engineering solution that overcomes the challenges of spatio-temporal linkage in this field. We provide examples of how environmental data can be combined to characterize a region, model air pollution, or provide indicators for cancer research. The development of AAIRD will allow future studies to use ML and deep learning methods to generate spatial and contextual exposure data for disease prediction. |
| title | Centralized Health and Exposomic Resource (C-HER): Analytic and AI-Ready Data for External Exposomic Research |
| topic | Applications |
| url | https://arxiv.org/abs/2511.03750 |