Bibliographic record
Abstract
Taking into consideration the problems of patients compliance related to the statins side effects, the starting point of the present thesis work has been the assumption that a suitable controlled release formulation for the oral delivery of statins would be of great value to improve the efficacy of the clinical therapy. In fact, the myopathy associated with the statins treatment has been attributed to both patient characteristics (age, gender, renal and hepatic functionality, diet) and statins properties (lipophilicity, high absorption, limited protein binding). The combination of these two aspects eventually may lead to patient drop out from therapy.\nGiven these premises, an ideal dosage form for statins administration would be characterized by a drug delivery rate and subsequent intestinal absorption rate perfectly synchronized with the drug empathic uptake and metabolism. In this way, the systemic exposure to the statin would be minimized or even made equal to zero. Thus the side effects, that are related to statin plasma concentration, would be avoided and the patient compliance increased.\nTherefore, the aim of the present doctorate project was to design and develop innovative formulations for controlled oral delivery of high doses simvastatin taken as a model compound of this class of drugs and characterized by high lipophilicity and good permeability. \nThe project was carried by investigating ternary hybrid matrices constituted of hydrophilic polymers and a solid lipid excipient.\nAn addition goal was the investigation of the mechanism behind the drug release from such ternary systems, which has obtained little attention in the available literature. A further aim has been the study of the suitability of hot melt extrusion as a technique fir large-scale production of the matrices here developed. This final part of the project has been carried out at the University of Toronto (Canada) under the supervision of Prof. Ping I. Lee.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".