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Plants, Quantum Sensors, and Predicting Cancer Evolution (EP. 25)

Plants, Quantum Sensors, and Predicting Cancer Evolution (EP. 25)

From First Principles vor 8 Monaten

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1:49:03

Hosted by Lester Nare and Krishna Choudhary, this episode jumps
from plant biochemistry to quantum metrology to cancer evolution.
We start with a University of York breakthrough that solves a
~50-year mystery in alkaloid biosynthesis—identifying the “missing”
enzyme behind a key asymmetric step plants use to build powerful
defensive (and pharmaceutically useful) molecules. Then we go deep
on quantum sensing with entangled atomic clouds, showing how
correlated measurements can beat the standard quantum limit.
Finally, we close with ALFA-K, a new tool that maps local fitness
landscapes to predict how aneuploid cancers may evolve under
pressure from therapy. Summary Plants making medicines — the
“phantom enzyme” in alkaloid biosynthesis and why solving this
pathway matters for scalable drug production. Quantum measurements
with entangled atom clouds — squeezed/entangled states, noise
reduction, and why correlations unlock better sensing. Predicting
cancer evolution — ALFA-K and measurable fitness landscapes for
aneuploidy-driven trajectories under treatment. Show Notes Story 1
— Plant alkaloid biosynthesis (University of York) Paper — New
Phytologist Story 2 — Quantum measurements with entangled atomic
clouds (University of Basel) Paper — Science Story 3 — Alpha-K
(Moffitt Cancer Center) Paper — Nature Communications