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Eliza Strickland

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As seen in: IEEE Spectrum, Aol, Here & Now Anytime, Fixing the Future, Flipboard, DNews, Foreign Policy Magazine, BioRxiv, WBUR-FM (Boston, MA), Discover Magazine, Sierra Magazine and
Features editor at the tech magazine @IEEESpectrum. I oversee features and keep an eye on biomedical engineering and AI. I'm a newshound, only more Snoopy-like.
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Articles

How a Google DeepMind Spin-off Hunts Hidden Drug Targets

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By Eliza Strickland Verified
| Fixing the Future
For more than a decade, artificial intelligence has been touted as a way to dramatically accelerate drug discovery. Yet despite billions of dollars in investment, relatively few AI-designed medicines have made it to patients. That’s partially because the timelines for careful drug testing can’t be easily compressed—and partially because drug development is just really hard.
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How a Google DeepMind Spinoff Hunts Hidden Drug Targets

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By Eliza Strickland Verified
| Aol Verified
The drug design engine from Isomorphic Labs can predict hidden binding sites on proteins that are invisible under normal conditions, but open up when specific molecules interact with them. Credit: Isomorphic Labs For more than a decade, artificial intelligence has been touted as a way to dramatically accelerate drug discovery. Yet despite billions of dollars in investment, relatively few AI-designed medicines have made it to patients.
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Bionic Tech Must Prove Itself Beyond the Lab Original

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By Eliza Strickland Verified
| Fixing the Future
I first met Robert Woo in 2011, during his third time walking in a powered exoskeleton. The architect had been paralyzed in a construction accident four years earlier, but he was determined to get back on his feet. Watching him clunk across a rehab room in an exoskeleton prototype, the technology felt astonishing. I had the same reaction when reporting on early brain-computer interfaces (BCIs), which enabled paralyzed people to move robotic arms or communicate by thought alone.
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