The objective of this study was to optimise the millet formulation using Levilactobacillus brevis and to evaluate its anticarcinogenic potential in vitro. The formula was developed in the course of the fermentation of finger millet (Eleusine coracana) using L. brevis MTTC 4460 and optimised by response surface methodology and validation by artificial neural networking (ANN).
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