Mostrando 1 - 4 Resultados de 4 Para Buscar 'Valdiviezo, Jesus', tiempo de consulta: 0.02s Limitar resultados
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artículo
Drug design has significantly benefited from advancements in computational chemistry and neural networks. In this article, we explore the pivotal role played by computational chemistry techniques such as Density Functional Theory (DFT), Molecular Docking, and Molecular Dynamics (MD) in understanding and optimizing atomic and molecular-level interactions. Furthermore, we examine how the integration of neural networks has enhanced precision and efficiency in drug design. We present specific examples of research projects showcasing the synergy between these methods and highlighting substantial advances in the quest for effective medical solutions. Additionally, we discuss challenges and key considerations for continuing to progress in this multidisciplinary field.
2
artículo
Drug design has significantly benefited from advancements in computational chemistry and neural networks. In this article, we explore the pivotal role played by computational chemistry techniques such as Density Functional Theory (DFT), Molecular Docking, and Molecular Dynamics (MD) in understanding and optimizing atomic and molecular-level interactions. Furthermore, we examine how the integration of neural networks has enhanced precision and efficiency in drug design. We present specific examples of research projects showcasing the synergy between these methods and highlighting substantial advances in the quest for effective medical solutions. Additionally, we discuss challenges and key considerations for continuing to progress in this multidisciplinary field.
3
artículo
Drug design has significantly benefited from advancements in computational chemistry and neural networks. In this article, we explore the pivotal role played by computational chemistry techniques such as Density Functional Theory (DFT), Molecular Docking, and Molecular Dynamics (MD) in understanding and optimizing atomic and molecular-level interactions. Furthermore, we examine how the integration of neural networks has enhanced precision and efficiency in drug design. We present specific examples of research projects showcasing the synergy between these methods and highlighting substantial advances in the quest for effective medical solutions. Additionally, we discuss challenges and key considerations for continuing to progress in this multidisciplinary field.
4
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Cavography by transespinosa puncture is a new radiological method used to explore the system of the inferior vena cava. The technique involves the injection of water-soluble contrast material within the bone of the spinous process of the last lumbar vertebrae, in order to obtain the normal or pathological radiological imaging of the inferior vena cava . The dye is driven by the system of vertebral venous plexus to the inferior vena cava, showing the close relationship between the vertebral venous circulation and movement of the inferior vena cava. The examination was performed in 15 patients and angiograms were obtained representative system of the inferior vena cava of normal and abnormal characters. Success was achieved in 14 cases . There was a technical fault failure . This method is recommended for your safety in the entire intrinsic disease of the inferior vena cava and intraperito...