Call it the “too much knowledge” paradox: The vast amount of new data generated by biomedical science carries the promises to make medicine über-precise. In the meantime, however, it does so at the peril of generating too much noise and confusion.
The survival of the human species in the face of a high number of incoming genetic mutations has remained an important problem in evolutionary biology. A newborn human is estimated to receive about 70 new mutations that the parents did not have.
We are excited to announce the launch of Open Insights, a series of research talks related to the mission of DBMI. This interdisciplinary seminar provides an open forum to engage participants in a discussion about the future of quantitative methods and engineering in biomedicine.
Last week, postdoctoral research fellow Andrew Beam attended the Conference on Neural Information Processing Systems (NIPS), one of the world's top conferences on machine learning (ML). He has described the experience in