PulseAugur
实时 06:01:26
English(EN) From Bench-to-Bedside: A Review of Clinical Trials in Drug Discovery and Development

综述文章详述AI在药物发现临床试验中的作用

这篇综述文章探讨了临床试验在药物发现和开发中的关键作用,详细介绍了从初步安全性评估到上市后监测的各个阶段。文章指出了伦理合规、参与者招募和多样性等关键挑战,并提出利用AI和大数据分析等技术解决方案来提高效率和数据质量。文章还展望了新兴疗法和全球合作的必要性将如何塑造未来的临床试验设计。 AI

影响 强调了AI和大数据分析如何改变临床试验的设计和实施,提高药物发现的效率和数据质量。

排序理由 该条目是发表在arXiv上的综述文章,讨论了临床试验和AI的作用。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

综述文章详述AI在药物发现临床试验中的作用

本文如何被排名

Signal score
25 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该条目是发表在arXiv上的综述文章,讨论了临床试验和AI的作用。[lever_c_demoted from research: ic=1 ai=0.7]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准

报道来源 [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 ·

    从实验室到病床:药物发现与开发临床试验综述

    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…