Using AI to speed up drug development and model building

DelineateQSP: Accelerating Quantitative Systems Pharmacology Model Building and Repurposing

NIH-funded research Delineate INC · NIH-11069100

This study is working on a new tool that uses advanced computer technology to help researchers build better models for understanding how drugs work in the body, which could make it faster and easier to develop new treatments for patients like you.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionDelineate INC NIH-funded
Lab location1 site (Medford, United States)
Project IDNIH-11069100 on NIH RePORTER

What this research studies

This research focuses on creating a platform that utilizes Large Language Models (LLMs) to enhance the construction and repurposing of Quantitative Systems Pharmacology (QSP) models. By extracting data from scientific literature more efficiently, the project aims to streamline the drug development process and improve clinical trial outcomes. The approach includes validating the platform through the development of test models and tracking model accuracy. If successful, this innovative method could significantly reduce the time and resources needed to develop new treatments.

Who could benefit from this research

Good fit: Ideal candidates for this research are patients with conditions that are currently being studied for new treatments or those involved in clinical trials.

Not a fit: Patients who are not involved in drug development or clinical trials may not receive direct benefits from this research.

Why it matters

Potential benefit: If successful, this research could lead to faster and more effective drug development, ultimately resulting in new life-saving therapies for patients.

How similar studies have performed: Other research has shown promise in using AI and machine learning to enhance drug development processes, indicating that this approach could be effective.

Where this research is happening

Medford, 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.
Last reviewed 2026-06-15 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.