Insights That Go Beyond Outcomes in Clinical Research

Unlocking the Future of Clinical Research: The Transformative Power of Adaptive Trials

Optimizing Clinical Trial Design: A Novel Adaptive Enrichment Design for Heterogeneous Diseases

A pharmaceutical company developing a new treatment faced a common challenge in clinical trials: How to efficiently identify which patients would benefit most from the treatment while maximizing the trial's chances of success?

Advancing Oncology Trials with Covariate Adjustment

In the dynamic field of oncology, clinical trials’ accuracy and efficiency are crucial. Patient heterogeneity—characterized by diverse factors such as age, genetics, and baseline disease status—complicates the interpretation of trial results. Addressing this variability is essential for obtaining clear and reliable insights into treatment efficacy.

The future of drug development: Integrating open source and commercial software

Clinical trials for drug development are becoming increasingly complex, with numerous variables that must be identified and defined from the start...

How Causal Machine Learning is Transforming Clinical Trials

An insightful discussion on the future of clinical trials and the role of causal machine learning in drug development.

Advancing Adaptive Clinical Trials with Causal ML, with Raviv Pryluk from PhaseV

PhaseV is pioneering the use of reinforcement learning, causal ML, and adaptive trial design to optimize resource utilization and time efficiency in drug ...