Episode 49 of Quantum Computing Business with Fexingo dives into how quantum computers are starting to reshape clinical trial design. Lucas and Luna explore a concrete example: a mid-stage biotech using a quantum algorithm to optimize patient stratification for a Phase 2 cancer trial. They walk through the problem—finding the right patient subgroups to reduce trial size and duration—and how a hybrid quantum-classical approach cut the search space from 10^15 possibilities to a manageable 200 in under 4 hours. The hosts also discuss what this means for drug developers, regulators, and patients, including the role of quantum in adaptive trial designs and the current limitations of noisy intermediate-scale quantum hardware. A grounded look at a real use case that moves quantum from theory to a very practical, high-stakes application.

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