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 ...

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 ...

Saama, an established leader in AI-driven solutions and services within the Life Sciences space, today announced the launch ...

| Clinical development is undergoing a structural shift. Protocols are growing more complex, budgets are shrinking, and ...

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 ...

Artificial intelligence (AI) is rapidly transforming clinical trials by dramatically reducing timelines and costs, accelerating patient-centered drug development and creating more resilient and ...

Statistical fragility refers to the vulnerability of clinical trial results to minor changes in event outcomes. The fragility index quantifies this vulnerability by determining the minimum number of ...

JCO Precision Oncology Conversations features discussions with leading authors of JCO Precision Oncology articles, hosted by Dr. Abdul Rafeh Naqash. Join our experts in engaging conversations as they ...

In the world of clinical trials, patient recruitment is an ongoing challenge. | In the world of clinical trials, patient ...

Researchers have created and preliminarily tested what they believe may be one of the first models for predicting who has the highest probability of being resistant to COVID-19 in spite of exposure to ...