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Record W2416047774

Transdermal formulations of deprenyl: guinea pig and pig models.

2000· article· en· W2416047774 on OpenAlexaff
J. Gaál, Gy Szebeni, G. Szekacs, Erzsébet Fejér, Oswald Wagner, István Szatmári, K. Magyar, Michael Mezei

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldChemistry
TopicAnalytical Chemistry and Chromatography
Canadian institutionsMicropharma (Canada)
Fundersnot available
KeywordsTransdermalBioavailabilityIn vivoPharmacologyActive ingredientDosage formBioequivalenceDrug deliveryGuinea pigChemistryMedicineBiologyInternal medicineBiotechnology
DOInot available

Abstract

fetched live from OpenAlex

The efficacy of many drugs relies on their presence at the site of action over a period of time. The retardation or programmed release capability of the conventional dosage forms like oral and parenteral are limited and toxic and undesired side-effects may occur after their applications. These problems may be solved using transdermal delivery systems. Transdermal systems are aimed for local, or systemic action. In the letter case controlling the rate of delivery or modulating the distribution in the organism. The selection of an adequate biological method of evaluating a new transdermal formulation is a critical point of the development. The in vitro methods can help in the characterization of the different formulas, but without an in vivo disposition study they cannot give relevant information about the expectable therapeutic behavior. We adapted and improved an in vivo test system for the evaluation of new transdermal particulate systems (patches) and liposomes containing deprenyl selegiline as active ingredient. The in vivo evaluation system consists of two steps: 1. Full biodisposition study on guinea pig, using isotope labeled selegiline. 2. Biodisposition studies on domestic pigs including dose, area, surface dependence and comparative bioavailability with traditional dosage forms and application moods. Specific examples of these studies and experimental technology are presented.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.015
GPT teacher head0.187
Teacher spread0.172 · 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.

Study designOther design
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
Published2000
Admission routes1
Has abstractyes

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