Agentic AI platform for in-silico clinical trials. Runs protocol simulation on synthetic digital-twin patient cohorts to detect safety signals and cut costs.
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Updated
Oct 29, 2026 - Python
Agentic AI platform for in-silico clinical trials. Runs protocol simulation on synthetic digital-twin patient cohorts to detect safety signals and cut costs.
Reproducible simulation and fitting comparisons for QSPQuest.
Model archives, runnable presets and recorded evidence for QSPQuest.
LOGOS (Longitudinal Optimization of Global Outcomes and Strategies) — Constrained mathematical optimization of finite-course PK/PD regimens using individual pharmacological models.
LOGOS (Longitudinal Optimization of Global Outcomes and Strategies) — Mathematical optimization of finite-course PK/PD regimens using clinical pharmacological data and constrained optimal control.
LOGOS (Longitudinal Optimization of Global Outcomes and Strategies): A mathematical framework for PK/PD treatment cycling, recovery dynamics, and clinical restart decisions.
LOGOS (Longitudinal Optimization of Global Outcomes and Strategies) — Bridging mathematical treatment theory and clinical evidence through PK/PD modeling and patient-level prediction.
A curated, citation-backed dataset of anesthetic and perioperative PK/PD model parameters featuring machine-enforced applicability envelopes, forward simulation, model-divergence visualization, and automated exports to standard pharmacometric formats like NONMEM, SBML, and Pumas.
Auto-reproduction & certification engine for the computational biomedical modeling literature — rebuild the model, re-run it, certify whether it reproduces its own results.
Antibiotic tolerance is scored from the starting inoculum wherever killing reaches the assay floor: a reanalysis of five published time-kill deposits, with every number regenerated from the data by the code here
A Python library for automated PK/PD ODE model identification from concentration–time data. Selects the compartmental structure, estimates parameters, and flags identifiability problems; no model specification or starting values required.
An MCP server providing AI assistants with access to MATLAB SimBiology for modelling, simulating, and analyzing biological systems
A Python-based clinical decision-support tool that cross-references a patient's medication list against a database to automatically flag severe drug-drug interactions (DDIs).
Phoenix WinNonlin-compatible PK/PD/NCA/Compartmental analysis copilot for Claude Code — version-aware (WinNonlin 5.3/6.4/8.3), CDISC SDTM/ADaM, 21 CFR Part 11 technical controls
Chi is an open source Python package which is designed for PKPD modelling and model-informed precision dosing (MIPD).
Modular Python framework for Population PK/PD modeling
Pharmaceutical Programming Framework
Simulation of pharmacodynamic models of drug-GPCR (class A) interactions.
Open Python Web App for Pharmcological Modeling and Analysis
Simulate the absorption and elimination of drugs in real time using pharmacokinetic formulas.
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