Shelly Fan is a Science Writer at Singularity Hub. With a background in neuroscience and a passion for biotechnology, she explores themes in medicine, healthcare, and technology, particularly focusing on the intersections of biology and AI. Shelly is also the author of the book 'Will AI Replace Us?' and has been featured in various outlets, including Singularity Hub.
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Shelly Fan predominantly covers scientific and technological breakthroughs, often citing data to support her articles. She is likely to be interested in pitches from experts who can provide credible insights into the latest developments across various scientific fields, such as AI, genetics, medical advancements, and emerging technologies.
Given her focus on specific breakthroughs and discoveries within the realms of science and technology, Shelly might respond well to pitches offering access to researchers or professionals involved in these groundbreaking projects. Sources who can offer nuanced perspectives on how these advances could impact society or industries may also pique her interest.
While Shelly's geographic focus is not specified, she seems inclined towards international coverage given the nature of scientific research being a global endeavor.
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AI has aced medical exams, but there's a wide gap between tests and the real world. A new study suggests the divide is closing.
By: Shelly Fan
The synthetic bacteria push the limits of life and could open the door to designer proteins and new medicines.
Physical strain to the heart makes it largely immune to cancer. More vulnerable organs could benefit from the discovery.
The wireless rings read 100 common words from two sign languages and "autocomplete" sentences.
Self-assembling swarms of microrobots could someday deliver drugs and pull toxins from water.
Researchers used two AI systems, Robin and Co-Scientist, to collapse the timeline from idea to drug candidate.
A huge analysis of gene expression across species revealed genetic hallmarks of aging and could accelerate anti-aging treatments.
New drugs are taking on the slippery molecular switches that fuel deadly cancers—and AI is speeding up the hunt.
By: Shelly Fan
While we still can't explain how AI works, algorithms are rapidly learning what makes us tick. And the gap is widening.
By: Shelly Fan
The technology, still far from clinical use, could one day prevent devastating diseases. But critics warn that even these early results may also fuel interest in commercial embryo editing, despite unresolved ethical and safety concerns.
