Science
Strategic consulting and incisive data analysis, from preclinical and first-in-human dose-selection, to the regulatory submission that puts your drug on the market. Our scientists are ready to integrate seamlessly into your development program.
Strategic decision making to guide your clinical pipeline, from IND to NDA submissions, with regulatory document support. We’ll help you identify gaps, mitigate risks, and defend your program to regulators.
Traditional analyses and metrics that define the PK and PD characteristics of your drug and establish a ground truth to measure against. Generation of validated domains and interpretation for PK, ADA, PD, and any other domain you need insight into.
Advanced mathematical and statistical analyses that quantify the outcomes and assumptions of your clinical strategy and align your program with modern regulatory standards for model-informed drug development.
The analyses and IND package that set up your first-in-human doses.
Analyses that fine-tune your dose, so your next cohort is designed and rationalized; lower your risk for rerunning at new doses.
Design your study to account for uncertainty, then get the most out of your data. Clinical pharmacology, modeling/simulation, and writing support can prepare you for submission on time.
The submission, the meeting after it, and analyses built for seamless reproduction in the hands of a reviewer.
Case study
A case study in combining clinical pharmacology and pharmacometrics expertise to save time and money.
Read the case study
Utilities
Need a pharmacokinetic parameter or an effect threshold in a hurry? These browser-based tools provide quick answers.
Calculate exposures needed to achieve common effect thresholds based on simple or sigmoidal maximum effect (Emax) models.
Convert clearance (CL) and volume (V) parameters for 2- and 3-compartment mammillary PK models to corresponding micro- and macro-rate constants. Derived half-lives and VSS are also output.
Updates
Modelling notes, methods deep-dives and regulatory perspectives from the A2-Ai team.