Bayesian prediction and modeling have emerged as transformative tools in the design and management of clinical trials. By integrating prior knowledge with accumulating trial data, Bayesian methods ...

This analysis is by Bloomberg Intelligence Industry Analyst Andrew Galler and Senior Associate Analyst Jack Maltby. It appeared first on the Bloomberg Terminal. Clinical trials represent a significant ...

The development of robust clinical trial methodologies increasingly relies on advanced statistical frameworks for model selection and the characterisation of dose–response relationships. With modern ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

To recruit volunteers more quickly for clinical trials, a team of National Institutes of Health (NIH) researchers has turned to artificial intelligence. The scientists built a large language model, ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

ZS has been named a Leader in the inaugural IDC MarketScape: Worldwide Life Sciences R&D AI (Including GenAI) in Clinical ...

Clinical trials in 2025 will be beset by rising costs and uncertain regulations while also benefiting from new technologies and expansion of site networks, predicts Velocity Clinical Research CEO and ...

City of Hope ®, one of the largest and most advanced cancer research and treatment organizations in the U.S., launched an innovative national clinical trials model to expand access to emerging ...