Clinical data archiving, the movement of inactive patient information from a production electronic health record (EHR) to a long-term storage solution, has been happening at major hospitals and health ...

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 today's fast-paced and ever-evolving landscape of clinical trials, the ability to efficiently analyze and visualize data has become paramount. The vast amounts of data generated from these trials ...

NEW YORK--(BUSINESS WIRE)--Medidata, a Dassault Systèmes company and leading provider of clinical trial solutions to the life sciences industry, today announced new experiences for enhancing and ...

A new working paper has found that one-third of all data points collected in 105 phase 2 and 3 trials were not needed for the studies’ key analyses, while also highlighting how an increase in clinical ...

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 ...

It is now a commonplace to propose high-dimensional molecular characterization within the translational research objectives of contemporary clinical trials. Similarly, most of these methods are being ...

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, ...

In early studies, artificial intelligence (AI) has demonstrated promise toward supporting and augmenting clinician-driven cancer diagnosis and prognosis; an example includes the emergence of digital ...

- VRDN-003 clinical data exceeded expectations with extended half-life of 40-50 days, 4-5x longer than VRDN-001, supporting a potential best-in-class, low-volume, less frequent, self-administered ...