<unk>  (PRS) is an artificial intelligence-guided personalized medicine platform that relies on combinatorial optimization principles to quantify drug interactions and efficacies to develop optimized combination therapies to treat a broad spectrum of illnesses.<unk>  fit a parabolic<unk> to a set of drug doses and biomarker values based on the understanding that the relationship between drugs, their interactions, and their effect on the measure biomarker can be modeled by quadric<unk>  The resulting<unk> allows for the omission of both in-vitro and in-silico screening of multi-drug combinations based on a patients unique<unk><unk> . This provides a method to utilize small data sets to create time-critical personalized therapies that is independent of the disease or drug mechanism. The adaptable nature of the platform allows it to tackle a wide range of applications from isolating novel combination therapies to predicting daily drug regimen adjustments to support in-patient treatments.
Phenotypic response surfaces
Lewis antigen system
Kell antigen system
Lutheran antigen system
Killing Season
MNS antigen system
Helper/suppressor ratio
Kidd antigen system