MétaCan
Menu
Back to cohort
Record W4396695122 · doi:10.53555/jsfs.v8i3.2684

Review On Sustained Release Dosage Form: A Novel Approach And Its Evaluation

2022· article· en· W4396695122 on OpenAlexvenueno aff
Satbir Singh, Gaikwad Dushyant Dadabhau, Kehar Singh

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2022
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug Solubulity and Delivery Systems
Canadian institutionsnot available
Fundersnot available
KeywordsDosage formPharmacologyChemistryComputer scienceMedicine

Abstract

fetched live from OpenAlex

Sustained release dosage forms are made to release a medication at a predefined rate while minimizing side effects and keeping a steady drug level for a certain amount of time. The fundamental idea behind a sustained release drug delivery system is to increase a medicine's usefulness while minimizing its negative effects and achieving illness cure by optimizing its biopharmaceutical, pharmacokinetic, and pharmacodynamic qualities. Sustained release drug delivery has a number of benefits over traditional dosage forms, including increased patient compliance because it requires fewer doses to be administered, decreased fluctuations in steady-state drug levels, maximum drug utilization, increased safety margin of potent drugs, shorter treatment periods and improved therapy that lower healthcare costs. Water penetration, polymer swelling, drug dissolution, drug diffusion, and matrix erosion have all been used as formulation techniques to measure drug release through matrix systems. This article provides a concise overview of different formulation strategies for drug delivery systems with sustained release.

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)0.026
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.520
GPT teacher head0.444
Teacher spread0.075 · 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 designObservational
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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Survey in Fisheries SciencesSame topicDrug Solubulity and Delivery SystemsFrench-language works237,207