MétaCan
Menu
Back to cohort
Record W2048580187 · doi:10.2174/1874126600802010033

A Simple and Economical Approach/Concept to Evaluate Quality of Pharmaceutical Products Based on an Improved Dissolution Testing Methodology

2008· article· en· W2048580187 on OpenAlexaff
Saeed A. Qureshi

Bibliographic record

VenueThe Open Drug Delivery Journal · 2008
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug Solubulity and Delivery Systems
Canadian institutionsHealth Canada
Fundersnot available
KeywordsDissolution testingQuality (philosophy)DissolutionProduct (mathematics)Biochemical engineeringProcess engineeringComputer scienceReliability engineeringConsistency (knowledge bases)Critical quality attributesMathematicsNew product developmentEngineeringBusinessChemical engineeringArtificial intelligenceMarketing

Abstract

fetched live from OpenAlex

Often the quality of drug products is evaluated based on chemical tests, commonly described in different pharmacopeias such as the USP. These tests includes: assay (potency), uniformity of dosage form and dissolution test. Presently, these tests are conducted separately with three procedures. Furthermore, dissolution tests are also conducted using multiple product-specific procedures. This makes the current practice of evaluation of the quality of pharmaceutical products complex and resource (human and financial) intensive. Recently a new improved dissolution methodology, based on a modified spindle known as crescent-shaped spindle, has been proposed. Using the proposed methodology, all these tests may be conducted based on a single dissolution test procedure. Such an approach would, therefore, provide a simpler alternative to the current practice with significant economical benefits. The attributes of the proposed approach which lead to the concept of product evaluation based on a single dissolution test procedure, are described here by testing a number of diltiazem products having different strengths and release characteristics.

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)0.014
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.951

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.474
GPT teacher head0.500
Teacher spread0.026 · 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 designSimulation or modeling
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

Citations3
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueThe Open Drug Delivery JournalSame topicDrug Solubulity and Delivery SystemsFrench-language works237,207