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    +1-877-929-8742
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    Meet Axtria at the event!

    We are thrilled to announce Axtria’s participation at ISPOR 2025. Bringing together RWE, HEOR & Evidence Synthesis and Clinical thought leaders and experts, the ISPOR 2025 event is the place to discuss and deliberate on the latest trends in healthcare.

    Don’t miss our insightful poster presentations and the opportunity to meet our RWE, HEOR & Evidence Synthesis and Clinical experts at the event.

    Meet our leaders at ISPOR 2025

    Won Chen Lee Updated

    Won Chan Lee, Ph.D.

    Principal, RWE & HEOR Practice Lead – Scientific and Strategic Oversight

    Alex Almond

    Alex Almond

    Senior Director, RWE & HEOR Practice - Head of Client Strategies

    David-Hood-Headhsot

    David Hood

    Senior Manager, RWE & HEOR – Client Engagement Lead

    Alexandra_Koumas_Headhsot

    Alexandra Koumas

    Manager, RWE & HEOR – Client Engagement Lead

    Coby_Martin_headhsot

    Coby Martin

    Manager, RWE & HEOR – Client Engagement Lead

    Luke_Dunlap_Headshot

    Luke Dunlap

    Principal, Clinical Solutions

    Heather_Marino_Headshot

    Heather Marino

    Senior Director, Clinical Solutions

    Jennifer Ken Opurum Updated

    Jennifer Ken-Opurum, Ph.D.

    Associate Director, Clinical Solutions

    Richard_Rogers_Headshot

    Richard Rogers

    Associate Director, Clinical Solutions 

    Poster presentations

    Real-world evidence (RWE) in health technology assessment (HTA): global guidelines on the use of RWE in evidence generation for HTA evaluation

    Wednesday, May 14, 2025 | 10:30 AM-01:30 PM

    Software as a Medical Device: Current Regulations in North America and Europe

    Wednesday, May 14, 2025 | 10:30 AM-01:30 PM

    The Cost Burden of Infertility Therapy for Women with a History of Hysteroscopic Adhesiolysis Compared to Those with Other or no Previous Intrauterine Surgery

    Friday, May 16, 2025 | 09:00 - 11:30 AM

    A Retrospective Real-World Data Analysis of Pregnancy Outcomes Among Women with a History of Hysteroscopic Intrauterine Adhesiolysis (HA), Other Intrauterine Surgery (IUs), or no Prior Ius

    Wednesday, May 14, 2025 | 04:00 - 07:00 PM

    The Role of Social Determinants of Health (SDoH) Data in Improving Risk Predictions

    Friday, May 16, 2025 | 09:00 - 11:30 AM

    Integrating Artificial Intelligence (AI) and Machine Learning (ML) Techniques With Real-World Data (RWD) and Real-World Evidence (RWE) to Inform Precision Medicine: A Scoping Review

    Thursday, May 15, 2025 | 10:30 AM - 01:30 PM

    Predicting Future Type 1 Diabetes Onset Risk; A Machine Learning Approach

    Friday, May 16, 2025 | 09:00 - 11:30 AM

    Application of Generative Artificial Intelligence for Extracting Structured Data from Unstructured Bladder Cancer Pathology Reports

    Friday, May 16, 2025 | 09:00 - 11:30 AM

    Meet our RWE, HEOR & Evidence Synthesis and Clinical SMEs
    and discuss your business needs and solutions.

    Schedule to meet our experts at ISPOR

    Explore our RWE, HEOR & Evidence Synthesis and Clinical Solutions to know more!

    Join our webinar on Accelerating Market Access: It's Time to Look Beyond Propensity Score Matching on May 7, 2025.

    Click here to register!

    Learn more about our work and thought leadership

    seeing the whole elephant

    WHITE PAPER

    Seeing The Whole Elephant: Integrated Advanced Data Analytics In Support Of RWE

    The 21st century has brought about significant technological advancement, allowing the collection of new types of data from the real world on an unprecedented scale. ...

    Learn more
    The Use Of Natural Language Processing

    White Paper

    The Use Of Natural Language Processing In Literature Reviews
    Learn more
    Real-World-Data-Based-Simulations_-Generating-Medical-Evidence-From-Clinical-Trial-And-Real-World-Data (3)

    White Paper

    Real-World Data-Based Simulations: Generating Medical Evidence From Clinical Trial And Real-World Data
    Learn more
    Considerations For Evaluating The Cost-Effectiveness In Rare Diseases

    ArTICLE

    Modeling The "Difficult To Model" Disease: Considerations For Evaluating The Cost-Effectiveness In Rare Diseases
    Learn more