The project will deliver a platform to optimize drug regimens for patients, especially those that have metabolic conditions or disorders. The platform will be designed to be used at the point of care to assist in decision making regarding the efficacy and precision medicine principles of existing drugs. It will consist of two main toolkits: predictive modeling software and a fully referenced high resolution mass-spectrometry (HRMS) workflow. The predictive software will leverage patient data from blood samples to model their xenobiotic metabolism, considering factors such as genomic background. The HRMS workflow, with its quick turnaround time and cost-effectiveness, will provide accurate measurements of patients' blood samples for the metabolism of therapeutics and pharmacokinetics/pharmacodynamics (PK/PD) modeling. The workflow and modeling toolkits will also have the capability to conduct parallel and integrated analyses at population scale, to help clinicians and product developers decipher the wide range of metabolism that affects the delivery of effective therapeutics. This comprehensive approach will enhance our understanding of how drugs act in different patient populations, as well as how they affect individuals on a more personalized level, in line with precision medicine approach.