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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

How will AI impact clinical trials? Pharmaceutical companies are on the brink of a tech revolution, and will embrace AI as a means to enhance their operations and research capabilities. Imagine a healthcare world where medical research is crystal clear and open to all, making science feel like a breeze.

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3 Ways CROs Can Expedite Clinical Trial Site Success

H1 Blog

Streamline your operations and improve trial feasibility and outcomes. Clinical Research Organizations (CROs) play an important role in the success of clinical trials. CROs can help improve trial site feasibility and success by increasing recruitment and boosting diversity among study participants.

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FDA Poised to Make Impact on Underrepresented Populations in Clinical Studies

H1 Blog

Diversity Action Plans (DAPs) aim to improve data that the FDA receives by increasing the clinical enrollment of historically underrepresented participants. The recent draft by the FDA introduces additional guidelines for Diversity Action Plans aimed at improving diversity in clinical research.

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Optimizing Clinical Data Registries: Opportunities for Diversity and Feasibility

H1 Blog

Breaking the Barriers: How Inaccurate Trial Records Are Delaying Drug Development and Limiting Diverse Patient Populations In an October 2023 report , BMC Medicine completed a follow-up on a 10-year effort to understand, report on and track data sharing challenges with big pharma, specifically for clinical trials.