Precision Clinical Trial Inference

A series of investigations at CarDS lab focuses on the development of tools that personalize the assessment of randomized clinical trials through the application of advanced data science and machine learning. These evidence-based tools extract individualized treatment effects based on participant-level data and promote the use of shared decision-making through personalized inference.


Individualising Intensive Systolic Blood Pressure Reduction in Hypertension using Computational Trial Phenomaps and Machine Learning: a Post-hoc Analysis of Randomised Clinical Trials


Phenomapping-Derived Tool to Individualize the Effect of Canagliflozin on Cardiovascular Risk in Type 2 Diabetes


A Phenomapping-derived Tool to Personalize

the Selection of Anatomical vs. Functional Testing

in Evaluating Chest Pain (ASSIST)