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uniQure N.V.

Complete enrollment of the second cohort for the AMT-260 study

Not delivered by the deadline

AI-confirmed · human review in progress Independent AI checks agreed on primary SEC or regulator evidence. Records are now being reviewed by hand, starting with those our customers order.

Announced
5 May 2026
Due
30 Jun 2026
Checked
1 Oct 2026
  • Deadline
  • Met
  • Late
  • Not met
  • Today

What the company said

“Enrollment of the second cohort is expected to be completed in mid-2026.”

What we found

Evidence strength A What the grades mean

The company stated in June 2026 that enrollment was ongoing and expected to be completed in mid-2026, but a July 2026 filing revised this expectation to the third quarter of 2026.

  • A
    uniQure N.V. 8-K filed 2026-06-22 Regulatory filing · published 22 Jun 2026 · retrieved 1 Oct 2026 · kept permanently by the SEC · fingerprint 4a91f1d334ca
    “Enrollment is ongoing in a second, higher dose cohort (3x1012 gc/mL), expected to consist of six patients with enrollment anticipated to be completed mid-2026.” ✓ confirmed on the page
  • A
    uniQure N.V. 8-K filed 2026-07-29 Regulatory filing · published 29 Jul 2026 · retrieved 1 Oct 2026 · kept permanently by the SEC · fingerprint 593a149112d8
    “The Company expects to complete enrollment in the second dose cohort in the Phase I/IIa study in the third quarter of 2026.” ✓ confirmed on the page

Market reaction: the shares moved +18.2% against the S&P 500 over the three sessions around the disclosure (28 Jul 2026 to 31 Jul 2026). What this measures

Checked 1 Oct 2026.

Commitment DNA

The structured record of this commitment. Fields the company did not state are left blank rather than guessed.

Event type
Clinical milestone
Indicative materiality
Medium rules
Action
Complete
Deliverable
AMT-260 second cohort enrollment
Language
Expected (“expects”, “plans”)
In the company’s control
High
Specificity
High

How this entry was checked

  1. Commitment recordedThe company's words were matched word for word against the filing.
  2. First checkAn AI model, Gemini (Google), read the company's later filings and recorded the outcome with a quoted passage.
  3. Second check: agreesA different AI model, Claude (Anthropic), re-read the evidence without being told the outcome and reached the same answer.
  4. Third check on a negative finding: agreesBecause a negative finding could harm a company if wrong, a stronger model re-read the evidence fully blind and reached the same answer.

Confirmed. This outcome counts towards the company's Kept Score. How verification works

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Report an error in this entry Reference: KI-C-2026-QURE-001938 · Corrections policy

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