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Record W2894454208 · doi:10.2967/jnumed.118.209460

Harmonization of U.S., European Union, and Canadian First-in-Human Regulatory Requirements for Radiopharmaceuticals: Is This Possible?

2018· article· en· W2894454208 on OpenAlexaffabout
Sally W. Schwarz, Clemens Decristoforo, Anne E. Goodbody, Nikhita Singhal, Sarah Saliba, Patrick S. Ruddock, Katherine Zukotynski

Bibliographic record

VenueJournal of Nuclear Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsQueen Elizabeth II Health Sciences CentreMcMaster UniversityCentre for Probe Development and Commercialization
FundersSociety of Nuclear Medicine and Molecular Imaging
KeywordsHarmonizationBusinessEuropean unionRegulatory affairsStandardizationPolitical scienceMedicineEngineering ethicsRisk analysis (engineering)Public administrationEngineeringInternational tradeLaw

Abstract

fetched live from OpenAlex

In recent years, several new radiotracers and radionuclide therapies have been developed. There is a renaissance in nuclear medicine and molecular imaging today, for example, in terms of the ability to image and treat neuroendocrine and prostate malignancies. In order to be able to bring a new drug product from bench to bedside and assist patients, while also ensuring patient safety, stringent regulations must be met. However, differences in regulatory requirements, often based on jurisdictional politics rather than scientific evidence, can hinder global co-operation, increase expense, and slow progress. In an effort to rise above these differences, nuclear medicine advocacy organizations, regulators, and international agencies have begun to identify commonalities in the regulations to achieve harmonization. Indeed, a more streamlined approach to radiopharmaceutical drug development across jurisdictions could be achieved through establishing harmonized requirements for pre-clinical studies and manufacturing standards. This paper provides an educational overview of the regulatory and submission requirements governing investigational radiopharmaceuticals for first-in-human radiopharmaceuticals across the European and North American continents. It is hoped that through ongoing collaboration, regulatory reform and harmonization can become a reality and speed access to the most up-to-date evidence-based patient care for all.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.355
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations27
Published2018
Admission routes2
Has abstractyes

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