989 resultados para Optimal formulation


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Purpose of review: The aim of this article is to summarize the latest information on microbicide formulations for prevention of sexual transmission of HIV infection in women. Recent findings: Although early microbicide formulations were conventionally coitally dependent gel products, new technologies are being developed for vaginal delivery of anti-HIV agents. Intravaginal rings for delivery of microbicides, for example, are being developed and evaluated clinically. Safety and acceptability data are available for many microbicide gels and for one microbicide intravaginal ring. Other microbicide formulations in development for once daily or other vaginal administration strategies include films, tablets, and ovules. Various microbicide formulations for rectal administration are also in development. Summary: New microbicide formulations in development are addressing many of the issues with the original gels such as coital dependency, frequency of use, acceptability, compliance, cost, and adaptability to large-scale production. All of these dosage forms are promising options for safe, effective, and acceptable microbicide products.

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This paper investigates the learning of a wide class of single-hidden-layer feedforward neural networks (SLFNs) with two sets of adjustable parameters, i.e., the nonlinear parameters in the hidden nodes and the linear output weights. The main objective is to both speed up the convergence of second-order learning algorithms such as Levenberg-Marquardt (LM), as well as to improve the network performance. This is achieved here by reducing the dimension of the solution space and by introducing a new Jacobian matrix. Unlike conventional supervised learning methods which optimize these two sets of parameters simultaneously, the linear output weights are first converted into dependent parameters, thereby removing the need for their explicit computation. Consequently, the neural network (NN) learning is performed over a solution space of reduced dimension. A new Jacobian matrix is then proposed for use with the popular second-order learning methods in order to achieve a more accurate approximation of the cost function. The efficacy of the proposed method is shown through an analysis of the computational complexity and by presenting simulation results from four different examples.

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A novel methodology is proposed for the development of neural network models for complex engineering systems exhibiting nonlinearity. This method performs neural network modeling by first establishing some fundamental nonlinear functions from a priori engineering knowledge, which are then constructed and coded into appropriate chromosome representations. Given a suitable fitness function, using evolutionary approaches such as genetic algorithms, a population of chromosomes evolves for a certain number of generations to finally produce a neural network model best fitting the system data. The objective is to improve the transparency of the neural networks, i.e. to produce physically meaningful

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Background There is considerable interest in developing coitally indepen- dent, sustained release formulations for long-term administration of HIV microbicides. Vaginal ring devices are at the forefront of this formulation strategy. Methods Non-medicated silicone elastomer vaginal rings were prepared having a range of appropriate dimensions for testing vaginal ?t in pig- tailed and Chinese rhesus macaques. Cervicovaginal proin?ammatory markers were evaluated. Compression testing was performed to compare the relative ?exibility of various macaque and commercial human rings. Results All rings remained in place during the study period and no tissue irritation or signi?cant induction of cervicovaginal proin?ammatory mark- ers or signs of physical discomfort were observed during the 8-week study period. Conclusions Qualitative evaluation suggests that the 25 · 5-mm ring pro- vided optimal ?t in both macaque species. Based on the results presented here, low-consistency silicone elastomers do not cause irritation in maca-

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A novel 5-aminolevulinic acid (ALA)-containing microparticulate system was produced recently, based on incorporation of ALA into particles prepared from a suppository base that maintains drug stability during storage and melts at skin temperature to release its drug payload. The novel particulate system was applied to the skin of living animals, followed by study of protoporphyrin IX (PpIX) production. The effect of formulating the microparticles in different vehicles was investigated and also the phototoxicity of the PpIX produced using a model tumour. Particles formulated in propylene glycol gels (10% w/w ALA loading) generated the highest peak PpIX fluorescence levels in normal mouse skin. Peak PpIX levels induced in skin overlying subcutaneously implanted WiDr tumours were significantly lower than in normal skin for both the 10% w/w ALA microparticles alone and the 10% w/w ALA microparticles in propylene glycol gels during continuous 12 h applications. Tumours not treated with photodynamic therapy continued to grow over the 17 days of the anti-tumour study. However, those treated with 12 h applications of either the 10% w/w ALA microparticles alone or the 10% w/w ALA microparticles in propylene glycol gel followed by a single laser irradiation showed no growth. The gel formulation performed slightly better once again, reducing the tumour growth rate by approximately 105%, compared with the 89% reduction achieved using particles alone. Following the promising results obtained in this study, work is now going on to prepare particle-loaded gels under GMP conditions with the aim of initiating an exploratory clinical trial.