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2026-09-297 min read0

AI Reads Your Dossier First — MFDS Expands Its AI Drug Review System to Biologics and Data-Submission Drugs in 2027, and How Pharma and Bio SMEs Should Prepare for AI Self-Check of Submissions

MFDS's AI drug review system will expand to biologics and data-submission drugs in 2027, and a pre-submission AI self-check tool is being developed alongside it. This guide explains how pharma and bio SMEs can prepare their dossiers to avoid costly deficiency rounds.

KITIM Consulting Team

MFDS's AI Drug Review System at a Glance

Korea's Ministry of Food and Drug Safety (MFDS) is building an AI drug review system that will take over parts of the approval review. A project task force launched in February 2026, and the program will receive KRW 22.3 billion over three years (2026–2028).

  • 2026: The rollout starts with generics. MFDS is building AI models for active pharmaceutical ingredient (API) specifications and bioequivalence review first, and automating routine, repetitive checks across 624 types of applications.
  • 2027: Under the MFDS 2027 budget proposal announced on September 1, 2026 (KRW 882.9 billion in total), the scope expands to biologics and data-submission drugs. Its core functions are summarizing and translating review documents, validating application materials, and automating repetitive tasks.
  • 2028: The system is planned to cover new drugs.
  • The February announcement named "incremental modified drugs" as the 2027 target, while the September budget proposal says "biologics and data-submission drugs." Incremental modified drugs fall under the data-submission category, so the two statements don't really conflict. Still, check MFDS's final announcements to confirm the actual scope and timing.

    What Matters for Companies: AI Self-Check Before Submission

    The most direct change for companies is an industry support tool. It is being developed alongside the review system so that applicants can check their submissions for format and requirement errors before filing.

    Deficiency letters often come from basic mistakes rather than scientific issues: missing forms, mismatched specifications, and numbers that disagree across modules. When AI catches these errors first, reviewers can focus on the substance. MFDS is also aiming for a review timeline of about 240 days, so each round of deficiency responses costs relatively more. A single round can delay approval by months, which puts both launch timelines and funding plans at risk.

    Machine-Readable Dossiers Get Through First

  • Structured data: Use consistent terminology, units, and study numbers across CTD modules, and follow standard templates. A figure in a Module 2 summary that doesn't match the Module 3 source data is exactly what AI will flag first.
  • Data integrity and version control: Make sure API specifications and certificates of analysis are current, and that every revision can be traced.
  • Translation quality: Figures and terms often drift from the source when data from overseas CROs and CMOs is summarized and translated. A shared glossary helps keep translations consistent.
  • Biologics-specific sections: Cell bank history, process validation, and comparability data are long and usually written by several teams. Assign an owner to each section and set up a cross-check procedure.
  • Readiness Checklist for Pharma and Bio SMEs

  • Start with products in your pipeline that are scheduled for submission in 2027–2028.
  • Tighten internal RA document management: templates, file naming rules, and cross-verification steps.
  • Watch for release dates and pilot participation opportunities for the self-check tool.
  • Look into related support, such as MFDS's new Global Drug Regulatory Review Technical Support program (KRW 4.8 billion).
  • A Word of Caution: AI Does Not Replace Judgment

    In the early stages, AI is an assistive tool, and reviewers still make the final call. Passing a self-check means your format is compliant. It does not prove your science is sound. Before uploading materials to the self-check tool, also read the relevant notices on how trade secrets and data security will be protected.

    How KITIM Supports Regulatory Readiness

    KITIM helps pharma and bio SMEs prepare for approval. We run pre-submission gap assessments, review consistency across CTD modules, and connect companies with government regulatory support programs. If you want to review your submission practices before AI review expands, contact the KITIM consulting team. We will propose practical steps that fit your products and timelines.

    AI Drug ReviewMFDS 2027 BudgetSubmission Self-CheckCTD DossierBiologics ApprovalData-Submission DrugsRegulatory Digital Transformation
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