Article

An AI-agent-orchestrated grey-box Transformer framework for sparse pharmacokinetic curve reconstruction and pharmacometric model initialization

2026-05-27

Abstract excerpt

Clinical pharmacokinetic (PK) modelling is constrained by sparse sampling, limited generalisability of single-drug models, and labour-intensive workflows, making it difficult to infer complete drug exposure from limited concentration observations. We present the Pharmacokinetic Foundation Model (PKFM), a grey-box Transformer framework pre-trained across 32 drugs that reconstructs concentration-time profiles from s...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f74b3394-f05b-5a9a-8d47-00c6bc164b45
DOI: 10.64898/2026.05.23.727373

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An AI-agent-orchestrated grey-box Transformer framework for sparse pharmacokinetic curve reconstruction and pharmacometric model initializationDOI 10.64898/2026.05.23.727373Read

A Hybrid Graph Neural Network and Physiologically Based Pharmacokinetic Framework for Multi-Drug Concentration Prediction with Explainability and Uncertainty QuantificationSemantic proximity Read

PD Union An Automated Pharmacodynamic Modeling Framework Based on a Unified Mechanistic Skeleton and Machine Learning AssistanceSemantic proximity Read

Sim2Real-PK framework for precision dosing: Integrating pharmacokinetic mechanisms and deep learning to decode clinical heterogeneity from sparse dataSemantic proximity Read

Model-Driven Hybrid AI Framework for End-to-End Autonomous Decision-Making in Drug DevelopmentSemantic proximity Read

Learning pharmacometric covariate model structures with symbolic regression networksSemantic proximity Read

Machine Learning in Personalized Medication Regimen Design for the Geriatric Pop…Semantic proximity Read

A machine learning approach to population pharmacokinetic modelling automationSemantic proximity Read

Artificial Intelligence in Drug Discovery: A New Paradigm from Target Identification to Clinical TranslationSemantic proximity Read

Artificial Intelligence-Augmented Analytical Method Development and Validation in Pharmaceutical Manufacturing: Current Applications, Regulatory Landscape, and Future DirectionsSemantic proximity Read

An Artificial Intelligence Framework for Optimal Drug DesignSemantic proximity Read

Multilayered validation of graph attention autoencoder–derived drug repurposing candidates for COVID-19Semantic proximity Read

Cirrina : LLM-driven pharmacological reasoning agent enables preclinical CNS drug evaluationSemantic proximity Read