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Four Ideas for Pharma to Maximize the Influence of Digital Opinion Leaders in Medicine

H1 Blog

Insights for Thought Leading Stakeholder Engagement to Decrease Medication Non-Adherence Pharmaceutical companies have long recognized the importance of engaging key opinion leaders (KOLs) to gain insight and support for clinical research, drug development, and medical education.

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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.

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Trials, Data, Diversity – H1’s Top 5 Diagnoses (Predictions) for Biotech and Pharma in 2024

H1 Blog

Pharmaceutical companies are on the brink of a tech revolution, and will embrace AI as a means to enhance their operations and research capabilities. In the near term, AI will be all about saving time, simplifying work processes, and knocking down language and jargon barriers in healthcare and clinical research.

Trials 64
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Optimizing Clinical Data Registries: Opportunities for Diversity and Feasibility

H1 Blog

Every day, patients around the globe are waiting for life-saving treatments to reach the market. The initial report, which came out In 2013 from PhRMA/EFPIA, recognized the importance of data sharing and supported initiatives to enhance clinical trial data transparency and promote scientific advancements.