Turning fragmented clinical data into actionable insight helps clinicians access unified patient information for faster, informed decisions across ...

Cancer patients' messages about radiology/pathology reports: Insights for AI. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text component ...

When I first entered the field of lung cancer, the seminal study published in the New England Journal of Medicine was a four-arm chemotherapy doublet study that showed no difference in effectiveness.

Precision oncology therapies, which target specific abnormalities in a patient’s cancer, are changing the nature of cancer treatment by enabling clinicians to select therapies that are most likely to ...

Intermountain Health, the largest nonprofit healthcare provider in the Intermountain West region, struck a multi-year collaboration with a young generative AI startup this month. The health system is ...

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 ...

Case Western Reserve University is one of three institutions nationwide to win federal 'big data' grants focused on developing ways to ensure the integrity and comparability of the reams 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 ...

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.

This article is part of our series on clinical data considerations. Read How to Approach Fundraising and Investor Relations. When it comes to disclosing clinical trial data in the biotechnology arena, ...