Causaly宣布推出用于科学发现的代理型人工智能-动脉网

Causaly Announces Agentic AI for Scientific Discovery

CISION 等信源发布 2025-03-31 19:00



可切换为仅中文







New AI agents in Causaly Discover empower scientists to answer complex biomedical questions faster and more accurately across a broader range of sources

Causaly Discover 中的新 AI 代理使科学家能够更快速、更准确地回答复杂的生物医学问题，并覆盖更广泛的来源。

LONDON

伦敦

，

March 31, 2025

2025年3月31日

/PRNewswire/ --

Causaly

因果关系

today announced new scientific AI agents that provide research teams with the industry's most comprehensive biomedical knowledge for drug discovery. With agentic AI in

今天宣布了新的科学人工智能代理，为研究团队提供业内最全面的生物医学知识以用于药物发现。通过代理型人工智能

Causaly Discover

因果发现

, life sciences teams can access, analyze, and synthesize information across the

，生命科学团队可以访问、分析和综合信息 across the

Causaly Knowledge Graph

因果知识图谱

and internal and external data sources. Now researchers can tap into the broadest and deepest ecosystem of biomedical information to answer their research questions with unprecedented speed, accuracy, and transparency.

以及内部和外部数据源。现在，研究人员可以利用最广泛、最深入的生物医学信息生态系统，以前所未有的速度、准确性和透明度回答他们的研究问题。

继续阅读

Causaly Discover redefines how life sciences companies approach scientific discovery.

Causaly Discover 重新定义了生命科学公司如何进行科学发现。

Developed over seven years, Causaly is the most advanced AI platform for scientific discovery powered by sophisticated search algorithms that connect 500 million facts and 70 million directional relationships across 8 relationship types in a knowledge graph. Scientists report up to 90% time savings in identifying and validating the right targets for developing effective, safe therapies.

七年磨一剑，Causaly是最先进的人工智能科学发现平台，由精密的搜索算法驱动，在知识图谱中连接了8种关系类型中的5亿个事实和7000万条方向性关系。科学家们报告称，在确定和验证开发有效且安全疗法的正确靶点上，最多可节省90%的时间。

Leading biopharmaceutical companies, including .

领先的生物制药公司，包括。

Novo Nordisk

诺和诺德

, use Causaly to increase their breadth of research, accelerate the timeframe and quality of target pipelines, and fuel better drug discovery and outcomes.

使用Causaly来扩展他们的研究广度，加速目标管道的时间框架和质量，并推动更好的药物发现和成果。

'We're redefining drug discovery by helping research teams integrate knowledge from the entire biomedical landscape, not just search literature,' said Yiannis Kiachopoulos, co-founder and CEO of Causaly. 'Causaly Discover serves as the central hub for all information researchers need to accelerate therapies to market.

“我们正在通过帮助研究团队整合整个生物医学领域的知识，而不仅仅是检索文献，来重新定义药物发现。” Causaly 的联合创始人兼首席执行官 Yiannis Kiachopoulos 表示，“Causaly Discover 是研究人员加速疗法上市所需的所有信息的中心枢纽。”

New AI agents now deliver deeper insights so scientists can quickly move from questions to confident decisions with unmatched speed and transparency.'.

新型人工智能代理现在可以提供更深入的见解，使科学家能够以无与伦比的速度和透明度迅速从问题转向自信决策。

The cost to develop a new drug can

开发新药的成本可以

exceed

超过

$2 billion

20亿美元

, with the entire development process from discovery to launch taking

，整个开发过程从发现到发布需要

over a decade

十多年来

. Identifying the right target for research and not wasting time on non-viable programs can significantly improve effectiveness, efficiency, and productivity in the early discovery stages.

确定合适的研究目标，不把时间浪费在不可行的项目上，可以显著提高早期发现阶段的效率、效能和生产力。

Built specifically for life sciences, Causaly AI agents reduce time and effort sifting through scattered data sources and large volumes of biomedical knowledge to discover new biomarkers, prioritize targets, understand disease biology, and more. Now, researchers have an even more powerful way to analyze relationships and uncover insights with the ability to:.

Causaly AI代理专为生命科学领域打造，减少了研究人员在分散的数据源和大量生物医学知识中筛选所需的时间和精力，以发现新的生物标志物、优先考虑目标、理解疾病生物学等。现在，研究人员拥有更强大的方式来分析关系并揭示见解，能够：

Answer complex biomedical questions in minutes compared to weeks

在几分钟内回答复杂的生物医学问题，而不是几周

Automatically generate detailed reports to save time reviewing insights

自动生成详细报告，以节省时间审查见解。

Integrate Causaly with external resources like Human Protein Atlas as well as web search results

将 Causaly 与外部资源（如人类蛋白质图谱）以及网络搜索结果进行整合。

Every insight in Causaly Discover is fully traceable and backed by trusted resources, making it easy to verify results and ask follow-up questions in natural language using

Causaly Discover中的每个见解都是完全可追溯的，并由可信的资源支持，这使得验证结果变得容易，并且可以使用自然语言提出后续问题。

Causaly Copilot

因果副驾

. Research teams can also collaborate on scientific insights by easily centralizing, saving, sharing, and commenting on findings in one workspace, with automated alerts summarizing and notifying scientists on the latest evidence.

研究团队还可以通过在一个工作区中轻松集中、保存、共享和评论发现结果，来就科学见解展开合作，并通过自动生成的警报总结并通知科学家最新的证据。

AI agents in Causaly Discover are currently available in early access and planned for general availability for all customers in

Causaly Discover中的AI代理目前可在早期访问中使用，并计划向所有客户全面推出。

May 2025

2025年5月

. To learn how Causaly Discover and new AI agents enables scientists to refine, verify, and share research with far more accuracy and transparency, read our

. 了解 Causaly Discover 和新的 AI 代理如何帮助科学家更精确、更透明地完善、验证和分享研究，请阅读我们的

blog

博客

。

Causaly

因果关系

Causaly is a leader in AI for the life sciences industry. Leading biopharmaceutical companies use the Causaly AI platform to find, visualize, and interpret biomedical knowledge and automate critical research workflows. To learn how Causaly is accelerating drug discovery through transformative AI technologies and getting critical treatments to patients faster, visit .

Causaly 是生命科学领域人工智能的领导者。领先的生物制药公司使用 Causaly 人工智能平台来查找、可视化和解释生物医学知识，并自动化关键的研究工作流程。要了解 Causaly 如何通过变革性的人工智能技术加速药物发现，并更快地为患者提供关键治疗，请访问。

www.causaly.com

。

SOURCE Causaly

来源 Causaly

WANT YOUR COMPANY'S NEWS

想要你公司的新闻

FEATURED ON PRNEWSWIRE.COM?

荣登PRNEWSWIRE.COM？

440k+

44万+

Newsrooms &