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 ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

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 ...

Okay. Good afternoon, everybody. Thank you for joining us. I'm Doug Tsao, Senior Analyst at H.C. Wainwright. We are thrilled today for what I think is a very unique event. We are joined by Professor ...

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 ...

Clinical trial attrition can be detrimental to clinical outcomes, patient well-being and the financial health of research programs. Clinical trial dropout rates, which range from 15% to 40%, greatly ...

Mikeie Reiland is a staff writer for Education at Forbes Advisor. Before coming to Forbes Advisor, he wrote magazine journalism for publications like the Oxford American, Bitter Southerner, and Gravy.

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, ...

Addressing the microbiome's translational gap involves understanding biological complexity and developing function-driven, patient-specific interventions.