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Review paper details AI's role in clinical trials for drug discovery

By PulseAugur Editorial · [1 sources] ·

This review paper examines the critical role of clinical trials in drug discovery and development, detailing the different phases from initial safety assessments to post-marketing surveillance. It identifies key challenges such as ethical compliance, participant recruitment, and diversity, proposing technological solutions like AI and big data analytics to enhance efficiency and data quality. The paper also looks ahead to how emerging therapies and the need for global collaboration will shape future clinical trial designs. AI

IMPACT Highlights how AI and big data analytics are transforming clinical trial design and implementation, improving efficiency and data quality in drug discovery.

RANK_REASON The item is a review paper published on arXiv discussing clinical trials and the role of AI. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Review paper details AI's role in clinical trials for drug discovery

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The item is a review paper published on arXiv discussing clinical trials and the role of AI. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Tianyang Wang, Ming Liu, Benji Peng, Xinyuan Song, Charles Zhang, Xintian Sun, Qian Niu, Junyu Liu, Silin Chen, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Yunze Wang, Yichao Zhang, Cheng Fei, Lawrence K. Q. Yan, Ziyuan Qin, Riyang Bao, Zekun Jiang ·

    From Bench-to-Bedside: A Review of Clinical Trials in Drug Discovery and Development

    arXiv:2412.09378v4 Announce Type: replace-cross Abstract: Clinical trials bridge basic research and clinical application, serving as essential steps in drug development. This review examines clinical trial phases (Phase I [safety assessment], Phase II [efficacy evaluation], Phase…

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