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 ...

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 ...

Large Language Models in Population Oncology: A Contemporary Review on the Use of Large Language Models to Support Data Collection, Aggregation, and Analysis in Cancer Care and Research This work ...

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 ...

Despite rapid growth, only 9.2% of DCTs are multiregional and over 80% single-country, indicating challenges in international implementation. 2 With regulatory agencies 4–7 underscoring risk-based ...

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 ...

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, ...

LONDON--(BUSINESS WIRE)--VirTus Respiratory Research Ltd, a leading respiratory-focused contract research organisation (CRO), today announced that results from their human rhinovirus challenge model ...