Simposio Internacional de Ciencias Farmaceúticas
SICF
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Thursday 25November 2021
Presentación del Simposio Internacional de Ciencias FarmacéuticasDr.C. Leisy Nieto Reyes y Dr.C. María Elisa JorgeSOBERANA: innovative experience of chemical-pharmaceutical development in CubaDra. Dagmar García RiveraLegal framework in Cuba for the manufacture of vaccines. News and challengesM. Sc. Biorkys Yáñez ChamizoTiempo de DebateDr.C. María Elisa Jorge RodríguezRECESOTiempo de recesoDELOS-susp technology for obtaining liposomes with vaccinal purposesProf. María del Carmen Luzardo LorenzoSesión de Pósters digitalesMSc.Mirleida Santos MarceloPharmacovigilance of thrombolytic therapy with recombinant streptokinase in patients with Acute Myocardial Infarction.Dra. María Elisa Jorge Rodríguez -
Friday 26November 2021
Bienvenida SICF 26 de noviembreLiliana Vicet MuroIn silico tool for biowaiverDr. Miguel Angel Cabrera PérezExperimental and computational study of 5-Fluorouracil uptake and release from pH responsive nanogels.Adrian Alejandro Ges NaranjoSesión de DebateLiliana Vicet MuroSesión de Pósters digitalesMSc.Mirleida Santos MarceloObtaining of steroidal sapogenin derivatives with potential anti-inflammatory activityArlena Vázquez MartínChitosan obtained from Lobster Chitin or Pharmaceutical ApplicationsNilia de la Paz Martin-ViañaFORMULATION OF A SYRUP OF CAPRARIA BIFLORA L.Miguel Angel Alba de ArmasStudy of the pharmaceutical compounding service in the community pharmacies at Santa Clara cityDr. Mirtha Mayra González Bediacompounded medication descriptive study. estudio descriptivo formulaciones magistrales formulaciones oficinales fuentes de información information sources legislación legislation magistral formulas medicamentos dispensariales officinal formulas organizaciones profesionales professional organizationsADME prediction with KNIME: In silico aqueous solubility consensus model based on supervised recursive random forest approachesProf. Gabriela Falcón Canoquantitative structure-property relationship (qspr); knime; aqueous solubility; adme; machine learning; random forest; supervised recursive selection relación cuantitativa estructura-propiedad (qspr); knime; solubilidad acuosa; absorción-distribución-metabolismo-excreción (adme); aprendizaje automático; bosque aleatorio; selección recursiva supervisadaComprehensive Certification of the Furvina Production by Modeling Quality Control ParametersMsC. Orlando Roberto Alvarez Gonzalez