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Artificial Intelligence for Life Sciences
Artificial Intelligence (AI) is a powerful force that is already reshaping our lives, environment, and interactions. It may be defined as a program whose aim is to produce human-like cognitive processes, and potentially even improving on them. AI has many facets: it may be algorithmic as in game playing programs or take a control theoretic approach as in autonomous vehicles. It may also manifest itself as linguistic ability, creativity, spatial reasoning, learning, and many others. We are now recognizing that AI has begun to make huge inroads to Life Sciences, be it making discoveries from huge biological data using machine learning, combining health records and genomic data of various types, discovering new drugs or drug targets, finding new groups of cell types, making diagnosis, or customizing health procedures as in precision medicine.
Science for Life Laboratory recognizes the importance of AI and this year Summit is to explore the impressive progress that has been attained with AI and to look into the future developments as to inform and inspire the Life Science community and other interested parties.
AI creates not only opportunities but also carries certain risks. AI researchers should be aware of ethical choices, and the funding agencies, including the governments, need to formulate principles and recommendations for AI research.
This one-day conference offers oral presentations as well as opportunities for interaction and conversation. Outside the lecture hall, there will be ample time for discussions and mingle.
We invite PhD students to present posters within the field of Artificial Intelligence for Life Sciences. During the mingle session after the conference, there will be time to ”Meet the speaker”.
Hiroaki Kitano, President The Systems Biology Institute; Director of Sony Computer Science Laboratories, Inc.
Ross D. King, Professor of Machine Intelligence, University of Manchester
Fabian Theis, Professor, Director of the Institute of Computational Biology, Helmholtz Center Munich
Eran Segal, Professor, Department of Computer Science And Applied Math, Weizmann Institute of Science