Preparing an Investigational New Drug (IND) application involves bringing together evidence about a drug’s chemistry, manufacturing, pharmacology, toxicology, and proposed clinical studies. Much of the work is making sure those pieces are complete and consistent.
AI can help organize the evidence and draft sections from the research record. Regulatory specialists and scientists can then review the sources, resolve gaps, and assess whether the package is ready for submission.
The IND Challenge
An IND contains connected reports, summaries, and supporting material. In the Common Technical Document structure, these include:
- Module 2.4: Nonclinical overview
- Module 2.5: Clinical overview
- Module 2.6: Nonclinical written and tabulated summaries
- Module 3: Quality, including chemistry, manufacturing, and controls (CMC)
- Module 4: Nonclinical study reports
- Module 5: Clinical study reports and protocols
The details need to agree across sections. A value copied from an older analysis can leave a reviewer with two conflicting accounts of the same study.
AI-Generated Regulatory Documentation
AgentCures records computational work as it happens: the inputs, methods, results, and interpretation. That gives the agent source material for drafts and gives reviewers a way to check them.
The workflow has four parts:
- Record the analysis. Keep its inputs, parameters, and results in a structured format.
- Link the evidence. Connect draft statements and tables to their source analyses.
- Prepare the draft. Reuse consistent document structures and terminology.
- Track revisions. Use Git to compare changes and identify which data version a section references.
The Speed Advantage
Starting with organized evidence reduces the time spent finding files, copying results, and rebuilding cross-references. Teams can prepare drafts as research progresses instead of assembling everything at the end.
The time saved depends on the quality of the underlying record and how much review the material needs.
Quality and Auditability
A reviewer should be able to follow a claim back to the study or analysis that supports it. Version control helps preserve that path when results or interpretations change.
At AgentCures, keeping drafts alongside the research record makes it easier to find inconsistencies and understand the reasoning behind a revision.
Implications for the Industry
Shared drafting tools can help smaller teams keep evidence organized across programs. Reusable templates also let specialists spend more time reviewing the science and less time repeating document preparation tasks.
The aim is an evidence package that stays current as the research develops and is easier for the responsible team to review.