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The fields of artificial intelligence (AI) and machine learning (ML) are increasingly influencing clinicalresearch and development (R&D). Contract research organizations (CROs) and pharmaceutical companies can leverage these cutting-edge technologies to streamline clinicaltrials and introduce automation in drug discovery.
Streamline your operations and improve trial feasibility and outcomes. ClinicalResearch Organizations (CROs) play an important role in the success of clinicaltrials. CROs can help improve trial site feasibility and success by increasing recruitment and boosting diversity among study participants.
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 clinicalresearch.
How will AI impact clinicaltrials? 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.
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 clinicaltrials.
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