Computer models to predict COVID-19 severity

Core C - Modeling Core

['FUNDING_OTHER'] · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · NIH-11247107

Using patient blood and tissue data plus computer network models to find molecular patterns that help tell who will have mild versus severe COVID‑19.

Quick facts

Phase['FUNDING_OTHER']
Study typeNih_funding
SexAll
SponsorICAHN SCHOOL OF MEDICINE AT MOUNT SINAI (nih funded)
Locations1 site (NEW YORK, UNITED STATES)
Trial IDNIH-11247107 on ClinicalTrials.gov

What this research studies

They will combine blood and tissue data from people who had COVID‑19 and from mice to look for molecular signs linked to mild or severe illness. Using network-based and AI models, the team will search for innate immune pathways and molecular fingerprints that predict outcomes across different SARS‑CoV‑2 variants. Promising biomarkers will be tested in the lab in collaboration with the project teams to confirm whether they influence disease severity. The Modeling Core serves as a data hub to turn complex omics data into markers or targets that could guide prevention and treatment.

Who could benefit from this research

Good fit: People who had SARS‑CoV‑2 infection and have available blood or tissue samples plus documented clinical outcomes (from mild to severe) would be the best fit for contributing data or samples.

Not a fit: People without a history of COVID‑19 or without available biological samples are unlikely to be able to participate or gain direct benefit from this project.

Why it matters

Potential benefit: If successful, this work could lead to tests that identify who is at higher risk of severe COVID‑19 and point to new targets for therapies.

How similar studies have performed: Related omics and network-modeling approaches have found useful biomarkers in other infections, but applying them specifically to SARS‑CoV‑2 variants and innate immune crosstalk is relatively new.

Where this research is happening

NEW YORK, 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.

View on NIH RePORTER →

Last reviewed 2026-05-15 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.