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我们庞大的产品目录可提供生物序列、生物活性数据等重要信息，助您对候选药物进行优先排序。
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Meet CAS Newton℠: Agentic AI built for science

Conversational access to 150 years of interconnected scientific knowledge sets a new standard for trusted discovery
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CAS announces 2026 CAS Future Leaders™

Global program equips outstanding early-career scientists with leadership skills to shape the future of science.
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CAS launches CAS Intelligence Hub to transform scientific data management

Cloud-based platform delivers harmonized, AI-ready datasets at enterprise scale
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CAS SciFinder Discovery Platform™

在整个创新之旅中，您可以利用行业最佳的科学解决方案加速取得突破，并将发现成果更快地推向市场。

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从科学文献中挖掘关键的生物材料趋势

西湖大学专注于尖端科学研究，寻求与一家在科学知识和先进数据分析能力方面具有丰富经验的机构合作。

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CAS 数据

标引科学文献，赋能科学发现

高质量数据是当今数字化研发管线的命脉。我们的科学家每天都会标引、关联、分析全球科学出版物中披露的高价值数据，创建了涵盖 150 多年科学发现的 CAS 内容合集™。

CAS 数据是 CAS 所有解决方案的基石，可被授权用于机器学习或内部工作流程整合。通过 CAS 定制服务，我们的科学家还支持定制化数据标引项目。

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Shifting climate, spreading insects: The rising burden of vector-borne diseases

Vector-borne diseases are spreading to new regions as climate change intensifies, and public health systems need more treatment options to limit the impacts.
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How AI-driven analysis can accelerate drug discovery

Spiro[2.3]hexanes are an example of promising yet challenging scaffold structures for new drug compounds. By using AI-powered predictive analytics with CAS BioFinder, researchers more efficiently identified candidates for validation.
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