Scientists at the Computational Story Laboratory have analyzed novels to identify the building blocks of all stories.
Cardiologist and genomic-medicine expert Eric Topol makes his case for a future of “medical selfies.”
Raising millions, Editas proved that investors are enthusiastic about gene editing. Now the company has to make its technology work.
Google’s machine learning division plans to help doctors spot the early signs of visual degeneration by sifting through a million eye scans.
Thirteen years after the human genome was sequenced, some remarkable treatments are being developed.
Herceptin, the original genetic drug, showed that not all cancers are alike.
With more data, a pioneer of gene sequencing hopes to unlock the connections between DNA and illness.
Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
The Kemper project is billions of dollars over budget, and shows no signs of generating power without emitting carbon dioxide.
Digitization promises lower annual emissions but could increase them over plants’ lifetimes.