Innovations In

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  • The pharmaceutical industry is in a drug-discovery slump. How much can AI help?

    • David H. Freedman
    Innovations In
  • Successfully applying AI to biomedicine requires innovators trained in contrasting cultures.

    • Amit Kaushal
    • Russ B. Altman
    Innovations In
  • Deep-learning algorithms are peering into MRIs and x-rays with unmatched vision, but who is to blame when they make a mistake?

    • Sara Reardon
    Innovations In
  • Digitized patient charts were supposed to revolutionize medical practice. Artificial intelligence could help unlock their potential.

    • Cassandra Willyard
    Innovations In
  • After false starts, drugs that manipulate the code of life are finally changing lives.

    • Jim Daley
    Innovations In
  • DNA-based medicine needs more diversity to avoid harmful bias. One big research project is fixing that.

    • Stephanie Devaney
    Innovations In
  • We now have the ability to screen for thousands of genetic diseases in newborns. That may not always be the healthy thing to do.

    • Tanya Lewis
    Innovations In
  • DNA or RNA molecules, arranged into spherical shapes, can attack brain cancers and other illnesses that evade conventional drug design.

    • Chad A. Mirkin
    • Christine Laramy
    • Kacper Skakuj
    Innovations In
  • Untangling the origins of organisms will require experiments at the tiniest scales and observations at the vastest.

    • Jack Szostak
    Innovations In
  • 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.

    • Marcelo Gleiser
    Innovations In
  • An elusive substance that permeates the universe exerts many detectable gravitational influences yet eludes direct detection.

    • Lisa Randall
    Innovations In
  • Scientists are beginning to unravel a mystery that has long vexed philosophers.

    • Christof Koch
    Innovations In