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      Dose-independent drug release from 3D printed oral medicines for patient-specific dosing to improve therapy safety

      , ,
      International Journal of Pharmaceutics
      Elsevier BV

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          A new initiative on precision medicine.

          President Obama has announced a research initiative that aims to accelerate progress toward a new era of precision medicine, with a near-term focus on cancers and a longer-term aim to generate knowledge applicable to the whole range of health and disease.
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            The path to personalized medicine.

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              Modeling and comparison of dissolution profiles.

              Over recent years, drug release/dissolution from solid pharmaceutical dosage forms has been the subject of intense and profitable scientific developments. Whenever a new solid dosage form is developed or produced, it is necessary to ensure that drug dissolution occurs in an appropriate manner. The pharmaceutical industry and the registration authorities do focus, nowadays, on drug dissolution studies. The quantitative analysis of the values obtained in dissolution/release tests is easier when mathematical formulas that express the dissolution results as a function of some of the dosage forms characteristics are used. In some cases, these mathematic models are derived from the theoretical analysis of the occurring process. In most of the cases the theoretical concept does not exist and some empirical equations have proved to be more appropriate. Drug dissolution from solid dosage forms has been described by kinetic models in which the dissolved amount of drug (Q) is a function of the test time, t or Q=f(t). Some analytical definitions of the Q(t) function are commonly used, such as zero order, first order, Hixson-Crowell, Weibull, Higuchi, Baker-Lonsdale, Korsmeyer-Peppas and Hopfenberg models. Other release parameters, such as dissolution time (tx%), assay time (tx min), dissolution efficacy (ED), difference factor (f1), similarity factor (f2) and Rescigno index (xi1 and xi2) can be used to characterize drug dissolution/release profiles.
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                Author and article information

                Journal
                International Journal of Pharmaceutics
                International Journal of Pharmaceutics
                Elsevier BV
                03785173
                March 2022
                March 2022
                : 616
                : 121555
                Article
                10.1016/j.ijpharm.2022.121555
                35131358
                971a6ee6-8db3-4071-bf7f-af33677cd7be
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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