The reach of the scientific method is constrained by the limitations of our tools and the intrinsic impenetrability of some of nature's deepest questions
Successfully applying AI to biomedicine requires innovators trained in contrasting cultures
Digitization of patient charts was supposed to revolutionize medical practice. Artificial intelligence could help unlock its potential
By channeling a flood of biomedical data, machine learning could transform basic research and clinical practice
After false starts, drugs that manipulate the code of life are finally changing lives
DNA-based medicine needs more diversity to avoid harmful bias. One big research project is fixing that
We now have the ability to screen for thousands of genetic diseases in newborns. That may not always be the healthy thing to do
DNA or RNA molecules, arranged into spherical shapes, can attack brain cancers and other illnesses that evade conventional drug design
Deep-learning algorithms are peering into MRIs and x-rays with unmatched vision, but who is to blame when they make a mistake?
The pharmaceutical industry is in a drug-discovery slump. How much can AI help?