Thanks to new regulatory frameworks like the Food and Drug Administration’s Breakthrough Therapy designation, drugs are coming to market faster than ever. A 2024 analysis of drugs included in this ...

Artificial intelligence (AI) tools used in medicine, like AI used in other fields, work by detecting patterns in large volumes of data. AI tools are able to detect these patterns because they can ...

Leaders in the federal healthcare space revealed ongoing and future artificial intelligence use cases and policy at NVIDIA’s AI Summit in Washington, D.C. on Tuesday, emphasizing the benefits ...

The clinical research landscape is rapidly transforming. Instead of viewing patients as subjects, sponsors now use the patients’ input to help reduce the burden they face during trials. This ...

Application developers and solution partners often need to process healthcare data outside of the electronic medical record (EMR) system. EMRs are primarily designed to directly support individual ...

As the push to integrate artificial intelligence and increase interoperability evolves, Clinical Architecture sees a dire need for tools that can assess the quality of healthcare data. Poor quality ...

Payer-provider clinical data exchange plays a critical role in payer operations, helping streamline workflows and improve patient care. Traditionally, this exchange ...

Innovation in ophthalmology is often measured by what reaches the clinic—but the path to those breakthroughs begins much ...

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 ...

Patient-reported outcomes (PROs) are reported directly by the patients about their own health. The objective of this article was to provide an overview of PROs in pediatric cancer, to describe how ...