It is known that in many cases a combination of drugs is more effective than single-drug
treatments both for reducing toxicity and increasing efficacy. With the advent of organoid
screens, personalised medicine has become possible for many diseases. Automated pipetting to well plates is the pharmaceutical industry standard for drug screening, but this is relatively expensive and slow. Here, a rotary microfluidic system is presented that can
test all possible drug combinations at speed with the use of droplets. For large numbers
of combinations, it is shown how the experimental scale is reduced by considering drug
dilutions and machine learning. As an example, two cases are considered; the first is a
three-ring and three radii configuration and the second is a four ring and forty-eight
radii configuration. Between these two, all other cases are shown to be possible. The
proposed commercial instrument is shown to be flexible, the user choosing which wells to
fill and which driver-computational sub-routine to select. The major issues addressed here
are the programming theory of the instrument and the reduction of droplets to be
generated by drug dilutions and machine learning.