Technical development and global technological infrastructure

Microsatellite instability and cancer: using next-generation sequencing to identify this tumour phenotype and analyse mechanisms of resistance to immunotherapy

Identification of early driver mutationsWhole-exome sequencing to identify early driver mutations Keywords: Whole exome sequencing, Personalized medicine

Interpretation of a deep learning model on gene expression dataTeam AROBAS: Algorithmic, Operations, Research, Bioinformatics and Statistical LearningDeep Learning is a major advance in artificial intelligence in recent years. One of the main perspectives of this approach is the application to health. The project consist on the use of deep learning to process gene expression data. The resulting network is used to predict the response to treatment of patients with breast cancer. The analysis of the Deep learning results aims to identify new biomarkers, give a biological interpretation of the model and explain the predictions.Keywords: Machine Learning, Deep learning, Gene expression, Personalized medicine, Artificial intelligence, Artificial neural network, Keras, Tensorflow

The International Genetically Engineered Machine (iGEM) competition is a worldwide synthetic biology competition.

Individualized support for students; Organizing outings, cultural and educational visits

Blood analysis; ABO/ RH blood grouping; standard balance sheet; lipid balance sheet