Using deep learning to improve the analysis of metabolites in biological samples
Deep Learning Models for Metabolomics Analysis
This study is working on using smart computer techniques to better identify chemicals in biological samples, which can help find new markers for diseases and improve our understanding of how our bodies work.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Tufts University Medford NIH-funded |
| Lab location | 1 site (Boston, UNITED STATES) |
| Project ID | NIH-11057615 on NIH RePORTER |
What this research studies
This research focuses on enhancing the annotation of metabolites identified through untargeted metabolomics using advanced deep learning techniques. By leveraging tandem mass spectrometry data, the project aims to improve the identification of chemical compounds in biological samples, which is crucial for biomarker discovery. The researchers will develop models that not only annotate spectra but also translate data from different instrument settings and provide explanations for their predictions. This approach could significantly advance our understanding of cellular metabolism and improve the accuracy of metabolomics analyses.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals undergoing metabolic profiling for conditions such as metabolic disorders, cancer, or other diseases where biomarker discovery is critical.
Not a fit: Patients who are not undergoing any form of metabolic analysis or do not have conditions related to metabolic disorders may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate identification of biomarkers, which may improve disease diagnosis and treatment.
How similar studies have performed: Other research has shown promise in using deep learning for metabolomics, indicating that this approach could lead to significant advancements in the field.
Where this research is happening
Boston, UNITED STATES
- Tufts University Medford — Boston, United States (Active)
Researchers
- Principal investigator: Hassoun, Soha — Tufts University Medford
- Study coordinator: Hassoun, Soha
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.