Developing tools to analyze complex genomic data from tissues
Machine learning methods for interpreting spatial multi-omics data
['FUNDING_R01'] · COLUMBIA UNIV NEW YORK MORNINGSIDE · NIH-11019779
This study is working on new computer tools to help scientists understand how our genes and the environment work together in our tissues, which could improve our knowledge of how diseases develop and how different cells interact with each other.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | COLUMBIA UNIV NEW YORK MORNINGSIDE (nih funded) |
| Locations | 1 site (NEW YORK, UNITED STATES) |
| Trial ID | NIH-11019779 on ClinicalTrials.gov |
What this research studies
This research focuses on creating advanced computational tools to analyze and integrate data from new genomic technologies that provide spatial information about tissues. By using machine learning techniques, the project aims to uncover how environmental interactions influence normal development and disease. The researchers will develop models that can interpret complex data from various sources, such as gene expression and protein levels, to identify unique patterns in tissue composition. This innovative approach could lead to a better understanding of how different cell types interact within their environments.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with conditions that involve complex tissue interactions, such as cancer or neurological disorders.
Not a fit: Patients with conditions that do not involve spatially-resolved genomic analysis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic and therapeutic strategies for diseases by providing deeper insights into tissue biology.
How similar studies have performed: Other research has shown promise in using machine learning for genomic data analysis, indicating that this approach could lead to significant advancements in the field.
Where this research is happening
NEW YORK, UNITED STATES
- COLUMBIA UNIV NEW YORK MORNINGSIDE — NEW YORK, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: AZIZI, ELHAM — COLUMBIA UNIV NEW YORK MORNINGSIDE
- Study coordinator: AZIZI, ELHAM
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.