▁tail ored ▁drug ▁pres cription . ▁O ften , ▁dru gs ▁are ▁pres cribed ▁with ▁the ▁idea ▁that ▁it ▁will ▁work ▁relatively ▁the ▁same ▁for ▁everyone , ▁but ▁in ▁the ▁application ▁of ▁dru gs , ▁there ▁are ▁a ▁number ▁of ▁factors ▁that ▁must ▁be ▁considered . ▁The ▁detailed ▁account ▁of ▁gen etic ▁information ▁from ▁the ▁individual ▁will ▁help ▁prevent ▁ad verse ▁events , ▁allow ▁for ▁appropriate ▁dos ages , ▁and ▁create ▁maximum ▁effic acy ▁with ▁drug ▁pres cri ptions . ▁The ▁ph arm ac ogen omic ▁process ▁for ▁discovery ▁of ▁gen etic ▁variants ▁that ▁predict ▁ad verse ▁events ▁to ▁a ▁specific ▁drug ▁has ▁been ▁term ed ▁to x gn ost ics . ▁ ▁An ▁aspect ▁of ▁a ▁ther an ost ic ▁platform ▁applied ▁to ▁personal ized ▁medicine ▁can ▁be ▁the ▁use ▁of ▁di agnostic ▁tests ▁to ▁guide ▁ther apy . ▁ ▁The ▁tests ▁may ▁involve ▁medical ▁imag ing ▁such ▁as ▁M RI ▁contrast ▁agents ▁( T 1 ▁and ▁T 2 ▁agents ), ▁flu ores cent ▁markers ▁( organ ic ▁d yes ▁and ▁in organ ic ▁quantum ▁d ots ), ▁and ▁nuclear ▁imag ing ▁agents ▁( P ET ▁radi ot rac ers ▁or ▁S PE CT ▁agents ). ▁or ▁in ▁vit ro ▁lab ▁test ▁including ▁DNA ▁sequ encing ▁and ▁often ▁involve ▁deep ▁learning ▁algorithms ▁that ▁we igh ▁the ▁result ▁of ▁testing ▁for ▁several ▁bi om ark ers . ▁ ▁In ▁addition ▁to ▁specific ▁treatment , ▁personal ised ▁medicine ▁can ▁greatly ▁aid ▁the ▁adv anc ements ▁of ▁prevent ive ▁care . ▁For ▁instance , ▁many