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Record W4313611902 · doi:10.18433/jpps33121

Applications of Exhaled Breath Condensate Analysis for Drug Monitoring and Bioequivalence Study of Inhaled Drugs

2023· review· en· W4313611902 on OpenAlexvenueno aff
Nastaran Hashemzadeh, Elaheh Rahimpour, Abolghasem Jouyban

Bibliographic record

VenueJournal of Pharmacy & Pharmaceutical Sciences · 2023
Typereview
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsnot available
FundersUniversity of TabrizTabriz University of Medical Sciences
KeywordsBioequivalenceExhaled breath condensateDrugBioavailabilityMedicinePharmacologyIntensive care medicineInternal medicineAsthma

Abstract

fetched live from OpenAlex

The exhaled breath condensate (EBC) presents a simple and non-invasive alternative approach for bioequivalence assessments and therapeutic drug monitoring of inhaled drugs. EBC better represents the drug at the site of action and eliminates the possibility of the contribution of a swallowed portion of the dose when systemic bioavailability is used for assessment. This review summarizes the recently reported analytical methods for the quantification of drugs in EBC. It also discusses the difficulties in the bioequivalence evaluation criteria of generic orally inhaled drug products suggested by various regulatory agencies that may be eliminated using the EBC analysis approach.

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)0.003
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.958
Threshold uncertainty score0.821

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.212
GPT teacher head0.507
Teacher spread0.295 · 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 designOther design
Domainnot available
GenreReview

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

Citations12
Published2023
Admission routes1
Has abstractyes

Explore more

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