Price transparency remains limited due to heterogeneous baselines, missing “before” metrics, and variable sourcing models, ...

Both synthetic data and digital twins share the concept of data generation via artificial intelligence; however, they differ in their purpose, scale and potential applications (see the table).

Influence of Device and Format: A Randomized Controlled Trial of an Electronic Health Record–Integrated Symptom Screening Questionnaire for Pediatric Patients With Cancer We created a hybrid ...

By fine-tuning domain-specific models with real clinical operations data — such as historical performance, feasibility ...

Advanced large language models (LLMs) such as ChatGPT, Gemini, Grok3, and Claude offer new possibilities for medical research interpretation and clinical decision support. While these models ...

In its assessment of 600,000 clinical trial protocols, Phesi found that 29.3% of protocols are linked to patient data and outcomes. (iStock / Getty Images Plus) Clinical trial data company Phesi’s new ...

The U.S. Food and Drug Administration seeks to accelerate clinical trials of new medicines by using artificial intelligence to streamline the laborious process of collecting and submitting study data.

Clinical trial recruitment failures have persisted for decades, yet most sponsors still plan studies using the same basic approach: look at historical recruitment rates, identify sites with patient ...

A cancer patient enrolled in a clinical trial today might wait months before regulators ever see the safety data generated by their treatment. The FDA wants to change that, and it has started running ...

On a press call, FDA Commissioner Marty Makary, M.D., highlighted the potential for FDA staff to keep up with trials as they are happening and potentially make regulatory decisions without having to ...