Article

Prospective In-silico Simulation of the VESALIUS-CV Trial Using Biomedical Knowledge Graph and Real-World Data-Driven AI Modeling

2026-08-31

Abstract excerpt

<h4>Background: </h4> Cardiovascular-outcomes trials are lengthy, costly, and associated with substantial uncertainty prior to readout. In-silico trial simulation using real-world data (RWD) has emerged as a potential tool to support earlier decision-making; however, evidence of prospective predictive validity, generated prior to trial result disclosure, remains limited. Methods. We applied a semi-mechanistic mach...

Identifiers and source

Literature Corpus work: 9d42198c-7566-5afc-a49c-633f27c41433
DOI: 10.64898/2026.08.26.26361436

Open publication

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Click a neighbor to travelStep 1 · 12 closest

Prospective In-silico Simulation of the VESALIUS-CV Trial Using Biomedical Knowledge Graph and Real-World Data-Driven AI ModelingDOI 10.64898/2026.08.26.26361436Read

Medical World Model: From Passive Prediction to Active Simulation in MedicineSemantic proximity Read

The Virtual Biotech: A Multi-Agent AI Framework for Therapeutic Discovery and DevelopmentSemantic proximity Read

Interpretable AI Decision-Support for Pre-IND Drug Development in a Historically Animal-Approved Cohort: A Large Concept Model FrameworkSemantic proximity Read

Data reuse enables cost-efficient randomized trials of medical AI modelsSemantic proximity Read

Agentic Trial Emulation to Learn Health System-specific Drug Effects At ScaleSemantic proximity Read

MedGenesis: Toward a World Model for Autonomous Clinical and Translational ResearchSemantic proximity Read

External Control Arm with Synthetic Real-world Data for Comparative Oncology using Single Trial Arm Evidence (ECLIPSE): A Case Study using Lung-MAP S1400ISemantic proximity Read

Constructing a Finer-Grained Representation of Clinical Trial Results from ClinicalTrials.govSemantic proximity Read

In Silico Trial Simulation with Artificial Intelligence-Generated Synthetic Control Cohorts Reproduces Results of a Randomized Controlled Trial in Acute Myeloid LeukemiaSemantic proximity Read

PRIME-CVD: A Parametrically Rendered Informatics Medical Environment for Education in Cardiovascular Risk ModellingSemantic proximity Read

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

Virtual Trials: Causally-validated treatment effects efficiently learned from an observational cancer registrySemantic proximity Read