Drug Database
IB

ibrutinib

✓ Approved

Johnson & Johnson Services, Inc. · Companion diagnostic · Companion diagnostic

What is ibrutinib?

ibrutinib is a companion diagnostic developed by Johnson & Johnson Services, Inc.. It is approved for therapeutic indications via others.

Drug Profile

CompanyJohnson & Johnson Services, Inc.
Drug ClassCompanion diagnostic
RouteOthers
StatusApproved

Therapeutic Indications

ibrutinib is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Neoplasms benign, malignant and unspecified (incl cysts and polyps)Uterine cancer✓ Approved

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[This corrects the article DOI: 10.1017/awf.2026.10089.].

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The number of papers published in health promotion journals has grown substantially for two decades, and mainstream use of generative artificial intelligence (AI) has accelerated that growth. Yet peer review remains fundamentally unchanged. Review still depends on volunteer time, and many journals prohibit reviewers from using AI to protect confidential, unpublished work. The result is an asymmetry: authors write faster with AI, while reviewers face mounting demand without the same tools. Funding agencies have begun responding; the NIH, for example, now caps annual application submissions per principal investigator. Journals cannot impose comparable limits because submissions are scattered across thousands of independent outlets, and requiring authors to complete reviews in proportion to their publications would be nearly impossible to enforce. We propose a solution that concentrates limited reviewer capacity on the most complex and consequential research. Cross-sectional and other descriptive studies would be evaluated by a purpose-built AI reviewer, trained to assess methodological rigor in such studies and designed not to retain or learn from unpublished manuscripts. Accepted papers would appear in a companion journal or section of the parent title. Traditional peer review would then be reserved for longitudinal, experimental, and other higher-impact research. Beyond easing reviewer burden, this model creates a transparent signal of rigor that could help tenure and promotion committees reward quality over publication quantity.

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