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"Trends and Challenges in Advancing Clinical Research"

Precision diagnostics, artificial intelligence, and natural language processing are both redesigning and addressing clinical research problems.

Digital technologies are revolutionizing healthcare and drug discovery, with precision diagnostics, artificial intelligence (AI), and natural language processing enhancing disease understanding and personalized care. The global AI in precision medicine market was estimated at USD 1.3 billion in 2022 and is projected to grow at 35.8% from 2023 to 2030. Pharmaceutical leaders must navigate challenges such as financial constraints, infrastructure, regulatory barriers, and privacy concerns while embracing collaborations to shape patient care.

Download this whitepaper to learn more about:

• How AI and machine learning expedite candidate identification, data harmonization, and predictive modeling, reducing time and costs in drug development
• How AI-enabled clinical trials streamline patient recruitment, monitoring, and data analysis, optimizing the drug development value chain
• How patient engagement grows through AI-enabled digital biomarkers and data-sharing initiatives
• How partnerships are an essential aspect for fostering digital strategy development, infrastructure improvement, and skilled workforce acquisition.

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