Join us at the Symposium on Risks and Opportunities of AI in Pharmaceutical Medicine on June 5, sponsored by Pfizer Inc., the Roux Institute at Northeastern University, and the American Statistical Association (ASA).

At Aitia, we are excited to present a session entitled “Causal AI for Learning ‘Digital Twins’ from Human Multi-Omic Data for Drug Discovery and Clinical Development: A Cardiovascular Disease Case Study”. This session will be presented by Bruce Church, PhD, our Chief Mathematics Officer and EVP, Research and Early Development. Bruce will Talk about how Digital Twins recover both known biology and discover novel interactions that can lead to the discovery of novel therapeutic targets and predictors and will describe results from a recently published cardiovascular disease Digital Twin for coronary artery disease and unpublished insights in connection to Lp(a).

The theme of AIPM 2023 is AI and Causality, and we are thrilled to know that Guido W. Imbens, PhD, the 2021 Nobel Memorial Prize Laureate in Economic Sciences, as this year guest speaker. This event is an excellent opportunity to bring together distinguished statisticians, data scientists, regulators, and other professionals to address the challenges and opportunities of AI in pharmaceutical medicine. It also serves as a platform to foster collaboration among industry, academia, regulatory agencies, and professional associations.

We are honored to be presenting at this symposium, and we look forward to sharing our insights and research with you. Register now to secure your spot at the Symposium on Risks and Opportunities of AI in Pharmaceutical Medicine website.