Understanding the biological mechanisms of systemic sclerosis
Systems Biology Core
This study is looking at how advanced computer techniques can help us understand systemic sclerosis better, with the hope of finding new ways to predict and treat the disease for patients like you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pittsburgh at Pittsburgh NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project ID | NIH-10929334 on NIH RePORTER |
What this research studies
This research focuses on using advanced computational genomics and machine learning to analyze complex biological data related to systemic sclerosis (SSc). By examining high-dimensional datasets from various sources, including single-cell RNA sequencing and proteomics, the team aims to uncover the underlying mechanisms of SSc and its related conditions. Patients may benefit from the identification of predictive biomarkers and insights into the disease's progression, which could lead to improved treatment strategies. The research team collaborates closely with other projects to address significant biological questions and generate meaningful predictions.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with systemic sclerosis or its related conditions, such as interstitial lung disease or pulmonary arterial hypertension.
Not a fit: Patients with conditions unrelated to systemic sclerosis or those who do not have a diagnosis of the disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to better understanding and management of systemic sclerosis, potentially improving patient outcomes.
How similar studies have performed: Other research utilizing computational genomics and machine learning has shown promise in understanding complex diseases, suggesting that this approach could yield valuable insights.
Where this research is happening
Pittsburgh, United States
- University of Pittsburgh at Pittsburgh — Pittsburgh, United States (Active)
Researchers
- Principal investigator: Singh, Harinder — University of Pittsburgh at Pittsburgh
- Study coordinator: Singh, Harinder
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.