
ABOUT THE PPD CLINICAL RESEARCH BUSINESS OF THERMO FISHER SCIENTIFIC
The PPD clinical research business of Thermo Fisher Scientific Inc., the world leader in serving science, enables customers to accelerate innovation and increase drug development productivity. Utilizing patient-centered strategies and data analytics, our capabilities cover multiple therapeutic areas and include early development, all phases of clinical development, peri- and post-approval, novel approaches to patient recruitment and investigator sites, and comprehensive laboratory services. Recognized as a global industry leader in accelerating promising medicines from early development through regulatory approval and market access, we serve pharma, biotech, medical device and government organizations with custom-tailored solutions, including full-service partnerships and functional service partnerships. As a strategic partner in clinical development and analytical services, we apply cutting edge technologies, therapeutic expertise and a firm commitment to quality to help customers deliver life-changing therapies.
FEATURED SOLUTIONS
-
This dynamic, system-agnostic approach to modernizing clinical trial monitoring supports targeted oversight, as well as sampling at the subject, visit, and form levels.
-
An advanced AI-powered platform designed to revolutionize clinical trial planning and execution leverages deep learning and proprietary performance data to deliver highly accurate, real-time forecasts.
CONTACT INFORMATION
Thermo Fisher Scientific
168 Third Avenue
Waltham, MA 02451
UNITED STATES
Phone: 1-716-290-3897
Contact: Brittany Cecere
FEATURED ARTICLES
-
Digitized protocols, enhanced by artificial intelligence (AI), are transforming clinical trial operations by accelerating document generation, system integration, and trial optimization.
-
Explore the challenges of non-enrolling sites in clinical trials, focusing on the benefits of leveraging artificial intelligence (AI) and machine learning (ML) in addressing those issues.
-
Are you considering integrating AI and ML into your workflow? These six considerations will help you plan out an effective trial.