Artificial Intelligence approaches for personalized medicine

HORARIO: jueves 11 de abril, a las 16:30

LUGAR: Salón de Actos de la Facultad de Informática

TÍTULO: "Artificial Intelligence approaches for personalized medicine."

PONENTE: Dr. María Rodríguez Martínez (IBM Research, Suiza)

RESUMEN: In recent years, deep learning has become one of most active fields in machine learning with astounding performances in a broad area of applications such as computer vision, speech recognition and natural language processing. In computational biology, the recent availability of large amounts of data generated by word-wide consortia together with technical developments facilitating the implementation and training of more performant models have made possible the broad application of deep learning to a vast set of problems. In this talk, I will present current activities at the Computational Systems Biology group in IBM Research, Zurich, that illustrate the application of AI approaches to integrate disparate data types with the goal of unraveling disease mechanisms and develop personalized patient models. Specifically, I will show two examples. First, I will demonstrate how state-of-the-art text ingestion and analysis can be used to automatically extract knowledge from text sources and obtain comprehensive maps of molecular interactions. Second, I will show how multi-modal neural networks can be trained to ingest disparate data types, such as compound molecular structure, transcriptomic data and prior molecular knowledge, and predict drug sensitivity in cancer cell lines. Finally, I will sketched how variations of the proposed architectures can enable targeted drug design.

IDIOMA: castellano

DURACIÓN TOTAL ESTIMADA: 90 minutos

CHARLA DISPONIBLE EN TV.UM.ES: https://tv.um.es/video?id=135431