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We show that combining a prediction model (based on neural networks), with anew method of test pooling (better than the original Dorfman method, and betterthan double-pooling) called 'Grid', we can reduce the number of Covid-19 testsby 73%.

A combination of 'pooling' with a prediction model can reduce by 73% the number of COVID-19 (Corona-virus) tests