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Applying Artificial Intelligence to Transform the Patient Enrollment Paradigm in Clinical Research

PPD

AI also has the potential to incorporate real-world data (RWD) obtained from electronic health records (EHRs), medical claims or other data sources to inform the design and optimization strategy of clinical trials.

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The Growing Trend of Patient-Led Clinical Research in Rare Disease

Conversations in Drug Development Trends

By: Juliane Mills, Senior Director, Therapeutic Strategy Lead, Rare Disease The rise of patient-led clinical research, particularly in rare disease, represents a significant shift in the clinical trial landscape. Why Is There an Increase in Patient-Led Rare Disease Research?

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Benefits of Participating in Clinical Trials

Olympian Clinical Research

Clinical trials are essential for advancing medical knowledge and developing new treatments that can improve patient care and outcomes. In Tampa Bay, Olympian Clinical Research is at the forefront of this vital work, offering local residents the opportunity to contribute to medical advancements.

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Shifting Paradigms in PAH Clinical Trials: 7 Key Takeaways for Success

PPD

Though they do positively impact patients’ quality of life and hemodynamic parameters, these treatments — prostacyclin analogs and receptor agonists, phosphodiesterase 5 inhibitors, endothelin-receptor antagonists, and cGMP activators — have shown limited beneficial effects on survival and disease progression.

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Diversity, Equity, and Inclusion in Clinical Research

Advarra

Achieving diversity, equity, and inclusion (DEI) in clinical trials is crucial for producing comprehensive and effective medical research benefitting all communities. DEI ensures clinical research encompasses diverse populations, considering variations in gender, race, ethnicity, socioeconomic status, and more.

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Overcoming Issues of Non-Enrolling Sites in Clinical Trials: A Proactive Approach

PPD

Clinical trials are critical for advancing medical research and bringing new treatments to market. These trial locations, despite being activated, fail to enroll participants, leading to increased costs, delays and potentially compromised trial outcomes.

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Predictive Analytics in Clinical Trials

Vial

The fields of artificial intelligence (AI) and machine learning (ML) are increasingly influencing clinical research and development (R&D). Contract research organizations (CROs) and pharmaceutical companies can leverage these cutting-edge technologies to streamline clinical trials and introduce automation in drug discovery.