Evidence – Leveraging Digital Twins & In Silico Clinical Trials to Improve Predictive Modelling and Translational Success

• Applying digital twin approaches to simulate patient outcomes and support development decisions before clinical testing
• Integrating clinical, biological, and computational datasets to improve prediction of efficacy, safety, and patient variability
• Understanding how in silico models can complement traditional preclinical approaches to reduce uncertainty and strengthen translational confidence

Speakers:

Himanshu Manchanda

Machine Learning Senior Scientist

Bayer