The emergence of AI and biosensors offers a chance to address inefficiencies in drug development.

Clinical Trial Outcomes and Analysis Concepts I: Clinical trials are used to answer scientific questions regarding interventions in humans. There are many factors that are critical to a successful ...

Raja Shankar, VP of machine learning at IQVIA, discusses which AI capabilities sponsors are most likely to adopt first to ...

The first-of-its-kind TEAM-HF study seeks to improve clinical outcomes in patients with worsening heart failure Trial establishes new, objective criteria to identify patients most at risk for ...

The MarketWatch News Department was not involved in the creation of this content. CARY, N.C., Nov. 12, 2025 /PRNewswire/ -- WCG, a global leader in providing solutions that measurably improve and ...

Clinical trials are vital for developing safer, more effective metastatic breast cancer treatments, yet participation is low due to access and financial barriers. Trials progress through phases, from ...

NIH updates clinical trial definition to exclude basic experimental studies involving humans from clinical trial requirements starting May 2026.

Medable is bringing generative AI into its clinical trial platform in hopes that the tech will reduce the burden of repetitive tasks on trial sponsors, the company announced in a Nov. 12 release.

Using KRIs or SDM, sponsors can detect a variety of emerging risks, including inadequate adverse-event reporting, protocol deviations or delays in data entry. Importantly, these risks can be flagged ...

Allo-HSCT significantly improved survival in real-world pediatric AML, with CR1 patients showing the best outcomes, achieving OS and DFS rates of 84.2% and 73.4%. Matched sibling and unrelated donors ...