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the Familial Hypercholesterolemia phenotype This project aims to optimize diagnosis and treatment for Familial Hypercholesterolemia (FH) by examining the impact of genetic variants not only in coding regions
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: Optimization Algorithms for Operations Management, hybridizing mathematical programming with heuristics and metaheusitics. Profile 168 : Tasks SP3.A15.T1 ; SP3.A16.T1. These tasks might be adjusted depending
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) Optimization of several chemical reactions following concepts of green chemistry; 3) Evaluation of the biological activities and ADME-Tox properties of the developed systems per si or in combination; 4
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the environmental impact of the different stages, including the identification of areas where optimization may be made from the environmental viewpoint, including the reduction of resources and the incorporation
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of crossing the blood-brain barrier; b) Characterization and optimization of functionalized nanoparticles; c) Encapsulation of a compound with anti-glioblastoma activity in functionalized nanoparticles and
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to optimize the combination subproduct-valorization strategy. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Characterize the operational requirements of different valorization strategies
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; Formulation optimization (dissolution and permeability tests) and cytotoxicity assessment in in vitro lung cell models using the Glass equipment Twin Impinger (GTI); Investigation of drug retention mechanisms
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screening technologies. The approach includes optimizing LDL uptake in lymphocytes, conducting high-throughput screening of bioactive compound libraries using AI-driven image analysis, and validating top
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optimize enzymes that are capable of degrading plastics, such as polyurethanes, unsaturated polyesters and epoxide resins. The main objective of this work will be the computational modeling of polyurethane