Computer modeling and analysis for tuberculosis
Core B Computational Modeling and Analysis
['FUNDING_P01'] · UNIV OF MASSACHUSETTS MED SCH WORCESTER · NIH-11173651
Using advanced computer models and AI to combine lab and patient data to better understand how tuberculosis affects people and animals.
Quick facts
| Phase | ['FUNDING_P01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIV OF MASSACHUSETTS MED SCH WORCESTER (nih funded) |
| Locations | 1 site (WORCESTER, UNITED STATES) |
| Trial ID | NIH-11173651 on ClinicalTrials.gov |
What this research studies
This computational core brings together many types of data—from bulk and single-cell RNA sequencing of lung and blood to barcode and genotype data from animal models—to build integrated computer models of tuberculosis. Researchers apply machine learning and other computational methods to find patterns and interactions among host and pathogen features that influence disease outcomes. The core works closely with the program's project teams and with both animal and human sample datasets to capture biological variation across patients and models. Results aim to point toward biomarkers and mechanisms that could guide future tests or treatments.
Who could benefit from this research
Good fit: People with active or latent tuberculosis, or those enrolled in affiliated studies who can provide lung or blood samples, would be the most relevant candidates for participation.
Not a fit: People without TB or those looking for immediate changes to their medical care are unlikely to receive direct benefit from this computational core itself.
Why it matters
Potential benefit: If successful, this work could help identify biological signatures that predict how TB progresses and suggest targets for better treatments or personalized care.
How similar studies have performed: Related machine-learning and multi-omic analyses have identified useful disease signatures in TB and other infections, but this integrated animal–human single-cell and bulk approach is comparatively more comprehensive and newer.
Where this research is happening
WORCESTER, UNITED STATES
- UNIV OF MASSACHUSETTS MED SCH WORCESTER — WORCESTER, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: LAUFFENBURGER, DOUGLAS A — UNIV OF MASSACHUSETTS MED SCH WORCESTER
- Study coordinator: LAUFFENBURGER, DOUGLAS A
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.