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

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.SummaryPlants 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 NotesStory 1 — Plant alkaloid biosynthesis (University of York)Paper — New PhytologistStory 2 — Quantum measurements with entangled atomic clouds (University of Basel)Paper — ScienceStory 3 — Alpha-K (Moffitt Cancer Center)Paper — Nature Communications