New Machine Learning Technique Provides Translational Results
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A team of scientists has developed an unsupervised multi-scale machine learning technique that can automatically and specifically capture biomedical events or concepts directly from raw data. They have initiated the multi-disciplinary platform: Berkeley Biomedical Data Science Center (BBDS), which aims at facilitating and nurturing data-intensive biomedical science. They will apply this technique to three ongoing projects related to cancer risk assessment and diagnosis, as well as personalized medicine.
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