AI-driven, no-code analytics improve diagnostics, optimize clinical trial site selection and performance, and unlock patient, provider and payer insights.Dublin, Oct. (GLOBE NEWSWIRE) -- "Clinical ...

MI-Common Data Model: Extending Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM) for Registering Medical Imaging Metadata and Subsequent Curation Processes The Osteosarcoma ...

Background Wearable device data are increasingly used to provide physiological and behavioural measures in clinical studies. Aims This scoping review maps out the data collected by wearable devices ...

The use of Artificial Intelligence (AI) and Machine Learning (ML) in clinical research is rapidly evolving, offering a glimpse into a future where medical innovation is driven by data-driven ...

Q1-Q2 2026 European provider-user Black Book Research survey finds data valorisation, governed secondary use, cohort discovery, trial feasibility and RWE readiness now defining the next generation of ...

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 ...

A full-time one-year post-doctoral training fellowship (with possibility of a one-year extension) for PhDs and MDs to bridge the gap between data science and clinical medicine. Fellows will receive ...

In the early 2000s, Paul Harris, a research informatics faculty member and bioengineer at Vanderbilt University Medical Center, noticed a pressing problem. While working with research teams, he found ...

Increasing clinical trial participant representation in clinical research is critical to developing new medicines that are safe and effective for patients in need. However, historical clinical ...

Vera Clinic Academy reports preliminary graft retention findings from its patient analysis, with no repeat surgical ...