Clinical data rarely arrives analysis-ready. In a recent project, our team used bfPREP™ to convert 10,000+ pages of clinical PDFs into an OMOP-structured dataset suitable for analysis and machine ...

In 2012, Pankaj Jandwani, MD, became the first CMIO of MidMichigan Health in Midland. Since then, he has helped the health system convert to a single EMR, launch a telehealth program and implement an ...

These analyses enable a broader, more inclusive approach to care that helps staff optimize processes, not just for the most ...

Holdings announced that its Director of AI, Machine Learning & Innovation, Juan Felipe Beltran Lacouture, PhD, will present a live webinar hosted by Xtalks titled “Clinical Data Analysis with Agents: ...

Qureight, a techbio company accelerating drug development using its proprietary deep-learning image biomarkers and clinical data analytics platform, today announced the first results from a ...

Pharma R&D faces rising trial complexity, high costs, and patient and investigator shortages, driving the need for adaptive models and data-driven strategies to speed therapies to market.

AI-enabled analytics are transforming healthcare from static data to real-time insights. A driving force behind this shift, Kiran Veernapu is modernizing systems to improve patient outcomes and ...

International Congress taking place in Amsterdam, the Netherlands, from 27 September to 1 October, researchers from Canada’s ...