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.
Drug repositioning, or putting already approved compounds to new uses, has gained ground in recent years as a cost-saving alternative to traditional drug development.
Clinical decision-making is a complex process, driven by multiple factors, including social and psychological dynamics, peer pressure and even exposure to drug advertising.
A DBMI postdoctoral research fellow has been honored with a Parasite Award, recognizing his outstanding contribution to the rigorous secondary analysis of data.
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.
The department is pleased to introduce our new Master of Biomedical Informatics program for students with a bachelors degree and a strong quantitative background.
