Publication date: Apr 11, 2019
Maria Rodriguez Martinez, Technical Lead of Systems Biology at IBM Research, Zurich, Switzerland
Artificial Intelligence approaches for personalized medicine
In recent years, deep learning has become one of the 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. Specifically, I will explain how a multi-modal neural network 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.
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