#AI скачать в хорошем качестве

#AI

Presenter: Laura Lopez Abstract: Success rate for drug development is truly low. The use of AI in drug discovery is driven by needs to lower overall attrition and cost. Our goal is to use a systematic network analysis based on AI and deep learning with the aims of: exploring novel targets within diabetes to prioritize them in the drug discovery pipelines, extracting significant drug-target-disease sub networks to better understand cardio metabolic diseases and proposing Novel sets of target-compounds to be tested in the lab. The project has 2 layers: -Data exploration: development of a graph database where the nodes are different entities involved in the bio-molecular network of the disease (drugs, proteins, pathways etc.) -Predictive methods: application of graph based machine learning algorithms for discovering new associations and comparison of the results with that obtained using a deep neural network approach.