The Targeted Antibiotic Dosing Calculator was born out of a simple observation: pharmacokinetic dosing in the ICU relies on math that clinicians often have to work through by hand or with fragmented spreadsheet tools. There had to be a better way.
As a clinical pharmacist working daily in the ICU, Nick saw firsthand how time-consuming and error-prone manual PK calculations could be — especially when juggling multiple antibiotics, fluctuating renal function, and the pressure of critically ill patients who need the right dose at the right time. He envisioned a tool that could take published population pharmacokinetic models and make them instantly accessible at the bedside: enter your patient's data, and see the concentrations, the curves, and whether you're hitting your targets.
What started as a conversation between father and son became something much bigger. Nick brought the clinical expertise — the equations, the literature, the years of dosing patients in real life. Andre brought the engineering — turning formulas scribbled on paper into an interactive application with real-time charts, progressive animations, and a privacy-first architecture that keeps every byte of patient data in the browser and off the internet.
Building this together has been one of the most fun, interesting, and meaningful things either of us has done. It's rare to find a project where pharmacokinetics and software engineering collide in a way that actually matters to patient care — and rarer still to get to build it with family. Every late-night debugging session, every "can we add one more antibiotic," every argument about chart colors has made this tool better and brought us closer. We hope it's as useful to you as it has been rewarding for us to create.
Nick is a clinical pharmacist with years of ICU and CVICU experience. He provides the clinical expertise behind every formula and dosing model in this tool. His multicenter study in the American Journal of Respiratory and Critical Care Medicine, “Propofol is associated with favorable outcomes compared with benzodiazepines in ventilated intensive care unit patients”, demonstrated that propofol-based sedation is associated with reduced mortality compared to benzodiazepines in ventilated ICU patients. Nick identified the need for a better bedside PK tool and drives the clinical direction of this project.
Andre is a University of Utah graduate with a background spanning software engineering, Python, SQL, and laboratory automation. He built and maintains this web application, translating complex pharmacokinetic equations into an interactive, privacy-first clinical tool with real-time visualizations. When he's not writing code for work or this project, he's probably analyzing data for fun.
This tool is a work in progress, and your input makes it better. Whether you're a pharmacist using it at the bedside, a student learning PK for the first time, or a clinician who spotted something we could improve — we genuinely want to know. Bug reports, feature requests, workflow suggestions, or even just a note saying you found it useful — all of it helps us prioritize what to build next and keeps us motivated to keep improving.