Structured environmental data with domain-specific feature engineering can transfer across medical settings and improve clinical predictions—suggesting that underutilized sensor data is a valuable signal for healthcare AI.
This paper shows that detailed laboratory environmental monitoring—not just temperature and humidity averages—can meaningfully predict IVF pregnancy rates.