Improving Real-World Mortality Data Quality in Oncology Research: Augmenting Electronic Medical Records With Obituary, Social Security Death Index, and Commercial Claims Data An online survey was ...
Next-Generation Implementation of Chimeric Antigen Receptor T-Cell Therapy Using Digital Health Research is becoming more focused on patient engagement, and patient-reported outcomes (PROs) are one ...
“End-to-End” Strategies Achieve Better Enrollment, Diversity, and Data Collection in Clinical Trials
The revolution in cancer drug development has a caveat: Only a fraction of eligible patients take part in clinical trials. Historically, findings from studies estimate that the share of eligible ...
REDWOOD SHORES, Calif., June 18, 2020 /PRNewswire/ -- Electronic Data Capture (EDC) is no longer sufficient for today's clinical trials, which are incorporating more virtual components and becoming ...
Bayesian methods have emerged as a pivotal framework in the design and analysis of clinical trials, offering a systematic approach for updating evidence as new data become available. By utilising ...
A new working paper has found that one-third of all data points collected in 105 phase 2 and 3 trials were not needed for the studies’ key analyses, while also highlighting how an increase in clinical ...
Digit health technologies (DHT) are a key aspect of U.S. Health & Human Services (HHS) Secretary Robert F. Kennedy Jr.’s Make America Healthy ...
A recent influx of digital technology has unlocked tremendous potential for clinical trials. For an industry that has traditionally relied on patients’ paper intake forms and manual data entry into ...
MELBOURNE, Australia, December 5, 2025 (EZ Newswire) -- iNGENū CRO, a global contract research organization, has set out the ...
Life science consulting firm Trinity Life Sciences is calling on the FDA to implement minimum representation requirements for clinical trials to help boost diversity in studies. Now it's time for the ...
AI is increasingly being adopted by sponsors for various applications in clinical trials, including optimising trial design, identifying suitable patients and analysing data, among other uses. While ...
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