Dados do Empregador:
Referência da Vaga: BE-2018-082UGE
País: Bélgica
Empresa / Universidade: Ghent University - IBiTech bioMMeda
Serviços / Produtos: biomedical engineering research
No de Empregados: 1
Local de Trabalho: Gent, Belgium
Horas Trabalhadas por Semana: 38.0
Horas Trabalhadas por Dia: 7.4
Aeroporto Internac. Mais Próximo:
Transporte Público Mais Próximo:
Perfil do Estudante:
Faculdade: Bioengineering
Faculdade 2:
Faculdade 3:
Faculdade 4:
Outra faculdade: Biomedical Engineering
Nível de Estudo: Final do Curso
Study Level: End - (7 and more semesters)
Sexo Permitido:
Experiência anterior requerida: N
Outros Requisitos: Knowledge of image segmentation (mimics) and computational fluid dyamics are a plus. If trainee needs visa, student status is obligatory. Outstanding student required, grades will be highly considered by the employer, student must have a high GPA and solid knowledge on this field.
Idioma 1: English
Nível de Idiomas: Avançado
ou: Não
Idioma 2:
Nível de Idiomas:
ou: Não
Idioma 3:
Nível de Idiomas:
Descritivo da Vaga:
Tipo de Atividade: Novel targeted drug delivery systems are increasingly being used for cancer treatment. To date, the majority of systemic drug treatments lacks a site-specific delivery of therapeutic molecules. This may lead to adverse effects, harming healthy tissue. Systemic chemotherapy induces severe toxic effects (e.g. cardiotoxic effect) and unwanted side effects (e.g. nausea, hair loss, fatigue). Hence, there is an urgent need for targeted drug delivery systems to bring therapeutic molecules locally to the desired region (tumor), while at the same time preventing toxic side effects in healthy tissues. These systems would be most welcome to treat cancer. Hepatocellular carcinoma (HCC) is the most common form of primary liver cancer and the third leading cause of cancer-related deaths worldwide. In Europe, approximately 47.000 patients die yearly because of liver cancer. In order to minimize this number, effective and more site-specific strategies for the administration of therapeutic molecules are urgently needed, especially for patients bearing unresectable tumors. Different types of targeted drug delivery are currently available for liver cancer, such as radio- and chemo-embolisation, during which drug particles are injected through a catheter in the arterial tree of the liver. However, the most optimal treatment conditions are still unknown. It is thus essential to gain more insight into the parameters influencing therapy outcome. Therefore, the aim of the project - in which the trainee will participate - is to explore the added value of computer models based on CFD (computational fluid dynamics) in order to optimize the efficacy of targeted drug delivery for liver cancer. In essence, the vascular flow dynamics play a crucial role in this context, as they determine the mass transport of the injected drug particles and their distribution in the body. Practically, imaging data (e.g. CT, MRI) of the liver vasculature will be used to create a 3D model of the simulation geometry. Subsequently, CFD simulations of the blood circulation and drug carrier transport in the liver will be performed in order to gain more insight in the parameters influencing treatment efficacy. The trainee will mainly be involved in the image processing part of the project (segmentations, creation of 3D reconstructions...).
Semanas oferecidas (mín.): 6
Semanas oferecidas (máx.): 6
Período de: 20/08/2018
até: 30/11/2018
Categoria: Pesquisa e Desenvolvimento
Moeda: EUR - Euro
Bolsa Auxílio: 180 / per week
Refeitório na empresa ou vale refeição: Não
Deduções Esperadas: 0
Será Providenciada Por: IAESTE
Custo Estimado de Acomodação: 100 / per week
Custo Estimado de Vida Incluindo Acomodação: 175 / per week