Case Studies

Case Studies | July 2, 2025

Breaking down data siloes to help save lives

Discover how DNDi partnered with Privacy Analytics to anonymize clinical trial data, ensuring patient privacy while advancing research on neglected diseases.

Case Studies | April 25, 2024

TB Alliance accelerates advances in patient health by sharing clinical trial data responsibly

Tuberculosis (TB) is the 13th leading cause of death globally, even though it is both preventable and curable...

Case Studies | December 8, 2023

Maximizing the value of clinical data on neglected patients

The Drugs for Neglected Diseases initiative (DNDi) has a unique mission: to use an alternative model to develop drugs for neglected diseases...

Case Studies | November 23, 2020

Novartis works to find safe and effective treatments for SARS-CoV-2 Virus

As the death toll from the novel coronavirus continues to rise across North America and globally, the pressure is on the broader scientific community to generate useful

Case Studies | June 22, 2020

De-identified data fuels AI-driven drug differentiation

Global pharma company consolidating large volumes of patient data into a diverse data platform.

Case Studies | June 14, 2020

Clinical trial document anonymization

A large, global pharmaceutical sponsor faced tight deadlines to deliver a portfolio comprised of over 450 clinical trial documents...

Case Studies | June 14, 2020

Anonymized clinical trial data and documents

A large, global pharmaceutical sponsor needed to safely share a higher volume of clinical trial data and documents to achieve multiple goals.

Case Studies | June 13, 2020

Clinical trial data anonymization

A large, global pharmaceutical sponsor needed to scale its data sharing as part of its effort to drive greater advancements in patient health.

Case Studies | June 10, 2020

Sanofi

This case study describes a de-identification project conducted with Sanofi Pasteur and Sanofi to de-identify a vaccine clinical trial dataset using the Privacy Analytics methodology and software,