Healthcare organizations are investing rapidly in AI and advanced analytics, yet many struggle to translate clinical data into tools that are safe, equitable, and useful in real care settings.

For AI to deliver meaningful value, organizations need more than clean data. They need timely data. The FDA has published a ...

BOSTON--(BUSINESS WIRE)--eClinical Solutions, a global provider of digital clinical software and services, today announced it has been named as a 2022 Gartner® Hype Cycle for Life Science Clinical ...

Builds on existing partnership by further leveraging the combined power of real-world data, real-world evidence and privacy-preserving record linkage technology to help solve key clinical trial ...

The integration of data science and artificial intelligence into pediatric intensive care is rapidly reshaping how clinicians ...

Why is tokenization important for the future of medicine development? A tremendous amount of data is collected throughout a clinical trial, but prior to tokenization, the life science industry did not ...

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 ...

Purdue’s innovative Master of Science in Data Science (MSDS) is an accessible, skills-focused master’s designed to meet the needs of professionals who have some background in data science and want to ...

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 ...

Kodiak Sciences is transitioning from past clinical disappointments to a maturing retina platform with multiple near-term catalysts. Recent GLOW2 Phase 3 success for Zenkuda in diabetic retinopathy ...