Covariate-adaptive randomization represents an advanced methodology in the design of clinical trials, ensuring a balanced distribution of prognostic factors among treatment groups. This approach ...
In today's fast-paced and ever-evolving landscape of clinical trials, the ability to efficiently analyze and visualize data has become paramount. The vast amounts of data generated from these trials ...
The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...
A New York Times health reporter explains what clinical trials are, why they are important and how they can help inform us. Credit...Ricardo Tomás Supported by By Nina Agrawal Nina Agrawal is a health ...
Carrie Madormo, RN, MPH, is a health writer. She has over a decade of experience as a registered nurse, practicing in a variety of fields, such as pediatrics, oncology, chronic pain, and public health ...
Over the past few years, we’ve seen a wave of digital innovation in clinical trials: decentralized models, eConsent, real-time monitoring and direct-to-patient logistics. We’ve digitized nearly every ...
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