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uniQure N.V.

Initiate patient screening for AMT-162

Not delivered by the deadline

AI-assessed · human review in progress Found and assessed by AI from the cited sources. Shown with its evidence; it is not counted in any Kept Score until confirmed.

Announced
5 Oct 2023
Due
31 Dec 2023
Checked
1 Oct 2026
  • Deadline
  • Met
  • Late
  • Not met
  • Today

What the company said

“The Company expects to initiate patient screening in the fourth quarter of 2023”
  • SourceuniQure N.V. Form 8-K press release, 2023-10-05
  • FilingSEC filing index
  • Deadline as statedfourth quarter of 2023
  • Deadline used31 Dec 2023, the last day of the stated period
  • TypeProduct
  • Permanent referenceKI-C-2023-QURE-001854
    Cite as https://keptindex.org/c/KI-C-2023-QURE-001854/ — this address never changes.

What we found

Evidence strength A What the grades mean

The company did not initiate patient screening for AMT-162 in 2023; later filings indicate the first patient was enrolled in October 2024, missing the fourth quarter 2023 target.

  • A
    uniQure N.V. 10-K filed 2025-02-27 Regulatory filing · published 27 Feb 2025 · retrieved 1 Oct 2026 · kept permanently by the SEC · fingerprint 5ff05a6e2a15
    “we incurred $7.3 million and $6.0 million of expenses, respectively, to initiate a Phase I/II clinical trial in which enrolled the first patient in October 2024.” ✓ confirmed on the page

Market reaction: the shares moved -4.8% against the S&P 500 over the three sessions around the disclosure (26 Feb 2025 to 3 Mar 2025). 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
Initiate
Deliverable
AMT-162 patient screening
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: disagreesBecause a negative finding could harm a company if wrong, a stronger model re-read the evidence fully blind and read it as “no_evidence”, so a person decides.

Not yet confirmed. Shown on the record, but it will not count in any score until it is confirmed. How verification works

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