Understanding how diseases cause tissue damage across scales

Quantitative Systems Biomedicine and Pharmacology for Multiscale Tissue Damage

NIH-funded research State University of New York at Buffalo · NIH-11319717

Using computer models that connect molecules, cells, and tissues to help predict how conditions like cancer cause lasting tissue damage and how treatments might change that for patients.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionState University of New York at Buffalo NIH-funded
Lab location1 site (Amherst, United States)
Project IDNIH-11319717 on NIH RePORTER

What this research studies

I would learn that researchers are building computer models that combine chemical, physical, and biological processes from molecules and cells up to whole tissues. They plan to use laboratory measurements, clinical data, and mathematical methods to simulate how tissues remodel and how chronic damage begins and progresses. The models are meant to make testable predictions about disease behavior and how treatments affect tissue health so experiments and care decisions can be better guided. Over time the team hopes to refine these models with patient samples and clinical outcomes to improve their usefulness.

Who could benefit from this research

Good fit: People with cancers or other conditions that cause chronic tissue damage could be relevant participants for future sample donation or observational studies tied to this program.

Not a fit: People without tissue-damaging conditions or those seeking an immediate new therapy are unlikely to receive direct benefit from this primarily computational modeling work.

Why it matters

Potential benefit: If successful, this work could help doctors predict and prevent tissue damage from diseases and choose treatments that better protect healthy tissue.

How similar studies have performed: Related multiscale modeling efforts have produced useful biological insights in areas like cancer and bone remodeling, but applying these models directly to predict patient outcomes is still an emerging area.

Where this research is happening

Amherst, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions Cancers
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.