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In the News

PharmExec (February 2023)

Taking Steps to Right the Wrongs: The Impact of Racial Bias in Healthcare and Medicine

Rose Blackburne discusses the huge opportunity for continued innovations that bring research closer to patients to help address health inequities.

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Contract Pharma (January 2023)

The ongoing evolution and implementation of DCTs in 2023

Jill Sommerville discusses the challenges, opportunities and evolution of decentralized clinical trials.

Contract Pharma
BioPharm International (January 2023)

Complex analytical workflows increasingly require robust bioassays

Catherine Liloia and Benjamin Ziehr comment on the crucial role bioassays play in biologic drug development.

BioPharm International
PharmaVoice (December 2022)

The 2023 PharmaVoice Year in Preview

Lisa Dyment and Lloryn Hubbard weigh in on key areas of industry focus, including patient engagement and clinical trial diversity, for 2023.

PharmaVoice
Pharmaceutical Outsourcing (November 2022)

The value of predictive analytical applications as digital health tools

Thomas Healy discusses the emerging benefits and capabilities of predictive analytic applications supported by wearable sensor devices.

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Pharma Focus Asia (November 2022)

Enabling digital and decentralized solutions in clinical research

In this article, Kamilla Posselt outlines the importance of embedding digital and decentralized solutions during early trial development.

pharma focus asia
Contract Pharma (November 2022)

Functional service partnerships: Speeding seamless implementation

Lisa Beckel discusses keys to implementing an FSP partnership, addressing some of the challenges, and how to assure efficient onboarding and resourcing for FSP clinical research projects.

Contract Pharma
International Clinical Trials (November 2022)

Strategies for 21st Century Patient Recruitment

The authors examine emerging trends in patient recruitment and how best to optimize them.

International Clinical Trials
Contract Pharma (November 2022)

AI in unexpected places: How ML and NLP improve startup timelines

The authors discuss how new applications of machine learning and natural language processing are having a profound impact on clinical trial agility and accuracy.

Contract Pharma