In the life sciences field, massive amounts of sensitive data, such as patient records and genomics, are vulnerable to cyber threats, posing significant risks like monetary losses and compliance issues. Collaborative efforts in this industry are challenged by data protection laws like HIPAA and GDPR, often leading to reliance on physical data collection. The need for secure solutions facilitating analytics and model building has prompted Duality and Intel to partner, utilizing Privacy Enhancing Technologies (PETs) to enable privacy-preserving data collaboration. By employing Intel’s 3rd Generation Xeon Scalable processors and fully homomorphic encryption, they have developed a scalable solution that allows secure computations on encrypted medical data, thus supporting real-world evidence studies crucial for medical and pharmaceutical advancements. This approach, which integrates Federated Learning, ensures data control and privacy while enhancing the potential for analytic transformations and innovation in the life sciences industry.