dosrespons

Dosrespons is a theoretical framework in pharmacology and systems biology for modeling the relationship between dose and physiological response. It seeks to unify traditional dose-response models with data-driven methods to describe how varying exposure levels over time influence outcomes such as biomarker changes, therapeutic effect, or toxicity.

Origin and usage: The term dosrespons combines "dose" and "response" and has appeared in speculative literature and pilot studies exploring integrated dose-response modeling. It is not yet a standardized term in mainstream pharmacology, and its definitions vary across groups.

Modeling approach: A dosrespons model typically includes input parameters for dose magnitude, administration schedule, and exposure duration; a response metric that may be molecular, cellular, or organism-level; and a mapping function that links exposure to response. Hybrid ensembles may use mechanistic components (receptor binding, signaling cascades) together with machine learning to capture non-linearities and interactions.

Applications and potential: In drug development and toxicology, dosrespons could support improved dose optimization, risk assessment, and personalized dosing by simulating complex exposure scenarios. It may also aid environmental health studies by modeling chronic low-dose exposures.

Limitations: Because it blends diverse data sources, dosrespons models can suffer from identifiability issues, data quality dependence, and challenges extrapolating beyond observed ranges. Clear standardization and transparent reporting are needed.

Relationship to established concepts: Dosrespons overlaps with pharmacodynamics, exposure science, and Hill-type dose-response models but emphasizes integrated dose-time-response frameworks.

See also: dose-response, pharmacodynamics, Hill equation, exposure science.