Segmed's AI Activities at SCOPE USA 2025

Feb 3

 - 

6

 / 

2025

Rosen Shingle Creek, Orlando, FL

Overview

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Join Segmed at SCOPE USA!


Visit us at Booth #820 to explore how Segmed can revolutionize your approach to imaging biomarker discovery and clinical development with Real-World Imaging Data (RWiD) and multimodal datasets.

At Segmed, we're dedicated to enhancing patient care by integrating RWiD to streamline research and innovation. Our solutions facilitate seamless access to structured, de-identified radiology images and reports, from a diverse population for your research projects. Segmed helps you harness the full potential of imaging data for:

• clinical trial design
• imaging biomarker development
• precision medicine
• comparative effectiveness
• pharmacovigilance

We'll be attending the upcoming SCOPE Conference and are eager to connect with you to discuss how Segmed can support your mission to improve patient care.

Visit Us at Booth #820


Discover the future of AI in Real-World Imaging Data at our booth. Connect with our team and explore how Segmed’s solutions can support evidence generation throughout the lifecycle of your research in oncology, neurology and cardiology.

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Don't Miss our Luncheon Presentation:
The Role of Radiology Imaging Biomarkers in Clinical Trials

Attend our expert-led session that will dive deep into how real-world data is transforming clinical trials.

Track: C14 - Biomarkers & Precision Medicine Trials

Date and time: Wednesday, February 5th at 12:25pm EST

Title:  The Role of Radiology Imaging Biomarkers in Clinical Trials

Speaker: Dr. Aline Lutz, Vice-President of Medical Affairs at Segmed

Summary:
Imaging biomarkers are highly relevant in drug clinical trials due to their ability to provide objective, quantifiable, and usually non-invasive measures of biological processes, disease progression, and treatment response. This talk explores the role of radiology and nuclear medicine in clinical trials, highlighting their impact on patient inclusion, stratification, endpoint assessment, and their use as predictive biomarkers to evaluate treatment response.

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