Use Case
Research studies & evidence generation
OptimDosing functions as a computational core for dose–response analysis, enabling adaptive trials, retrospective safety/efficacy audits, and transparent rationale suitable for regulatory and payer audiences.
Study modes
- Prospective/adaptive: algorithm‑guided escalation/de‑escalation; monitoring‑informed adjustments.
- Retrospective: dose‑toxicity and dose‑outcome mapping using registry/EHR/claims data.
- Method transparency: exportable rationale artifacts that support submissions.
Supporting literature
- Combination therapy landscapes and complexity indicate growing need for structured dose logic. (Mokhtari 2017), (Chen 2025)
- Polypharmacy prevalence and the limits of simple interventions underscore the need for analytic engines. (Wang 2023), (Keller 2024)
Deliverables
Dose maps
Optimization surfaces and safe‑zone visualizations.
Model cards
Documentation of assumptions, data sources, versioning.
Integration guides
SDK usage, data contracts, and governance notes.