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Medicina personalizada e impresión 3D de formas farmacéuticas

Authors: Marín Alcalá, Cristina;

Medicina personalizada e impresión 3D de formas farmacéuticas

Abstract

Las aplicaciones de la impresión 3D se han desarrollado notablemente en los últimos años. Desde su aparición en los años ochenta, surgieron nuevas técnicas de impresión 3D para satisfacer el interés creciente demostrado por diferentes industrias, incluida la industria farmacéutica. La impresión 3D de formas farmacéuticas pretende adaptar la fabricación de los medicamentos a los requerimientos específicos de cada paciente, atendiendo a su edad, peso, perfil farmacogenético, comorbilidades, así como a su farmacocinética característica. Para ello, la fabricación aditiva dispone de diferentes técnicas como la impresión 3D por inyección de tinta, a demanda o en continuo; la tecnología por deposición de material, que engloba la deposición de material fundido y la tecnología PAM y; la impresión 3D por láser, que incluye la estereolitografía. Así pues, un objetivo concreto de esta revisión es dar una visión general sobre las ventajas, desventajas y exigencias que demandan cada una de las técnicas. Del mismo modo, se contrastan las perspectivas competitivas que ofrece la impresión - 3 - 3D, evidenciadas con la aprobación de Spritam® por parte de la FDA, con la aparición de dispositivos personalizados para diversos tratamientos.

Keywords

CDU::6 - Ciencias aplicadas::61 - Medicina::615 - Farmacología. Terapéutica. Toxicología. Radiología, :6 - Ciencias aplicadas::61 - Medicina::615 - Farmacología. Terapéutica. Toxicología. Radiología [CDU]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green