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Elsevier
論文を投稿する
Press release

Elsevier supports Pistoia Alliance in accelerating safe and responsible AI adoption in drug discovery

2024年11月4日

Elsevier to address AI-related challenges, including the need for trusted data, and AI transparency, at upcoming life sciences industry workshops, webinars, and conference

Elsevier, a global leader in information and analytics, and provider of data and AI-enabled decision support tools for innovation in life sciences, today announced a commitment to support global not-for-profit organization The Pistoia Alliance, which advocates for greater collaboration in the life sciences.

The commitment sets out to address common challenges in AI adoption facing the pharmaceutical and research community. Elsevier will provide expertise through a joint program of events for Pistoia’s 200+ member organizations, which include top pharmaceutical, biotech, healthcare and R&D organizations as well as regulators. Elsevier has supported the Alliance for more than a decade, helping to equip organizations with the capabilities and tools needed to harness the full potential of AI for effective and efficient drug discovery, in a safe and ethical manner.

The announcement follows Elsevier's recent Attitudes to AI report, which found widespread willingness among corporate researchers to use AI tools, but also concerns about associated risks, such as misinformation, critical errors, and gaps in critical thinking. These concerns are echoed in The Pistoia Alliance’s recent Lab of the Future Report 新しいタブ/ウィンドウで開く, which also uncovered demand for more educational resources, such as ontologies training – an area of specialism for SciBite, an Elsevier company.

Drawing on these insights, Elsevier has identified the following five key areas for advancing greater AI adoption in drug discovery:

  1. Securing trustworthy data – Robust data sourcing drives accurate and effective research results.

  2. Structuring data to reveal insights – Leveraging the FAIR data principles and ontologies transforms complex scientific data into accessible and contextualized knowledge structured for AI.

  3. Transparent AI – Retaining human oversight and implementing Retrieval-Augmented Generation (RAG) architecture overcomes the issue of 'black box' AI systems and drives transparency and credibility in AI outcomes.

  4. Unified governance – Research professionals and legislators must be aligned to effectively navigate AI regulations, such as the new EU AI Act.

  5. Bridging the skills gap – Many organizations still cite the lack of internal skills as an AI barrier, accessing a combination of scientific expertise with data science and tech knowledge.

Upcoming events addressing these areas include:

Mirit Eldor, Managing Director, Life Sciences Solutions, Elsevier, said:

The Pistoia Alliance continues to be the ideal forum for productive collaboration. It is clear that coming together to share learnings and best practices can help all navigate the challenges of overcoming data barriers in the life sciences. Ultimately, our goal is to remove barriers so that we can realize the full potential of AI in accelerating the development of safe and effective therapies. We're delighted to continue playing our part in this ecosystem, building on Elsevier’s long history of data expertise to further support the Alliance’s members and the broader R&D community.

Dr. Becky Upton, President of the Pistoia Alliance, said:

Elsevier and Pistoia Alliance’s recent surveys find there is a drive among researchers to adopt AI. Yet, data from both studies also show that life science organizations are still grappling with challenges ranging from access to data to building trust in AI tools. Elsevier has been a valued member of the Alliance since 2015 and has actively contributed to impactful initiatives that are shaping the future of our industry. The Pistoia Alliance will continue to work with its members to provide tangible deliverables to the life sciences community to help them address these AI challenges.

エルゼビアについて エルゼビアは、科学情報と分析を牽引するグローバル企業として、研究者や医療従事者が社会の利益のために科学を進歩させ、医療成果を向上させることを支援しています。我々は信頼できるエビデンスベースのコンテンツと高度なAI対応デジタルテクノロジーに基づくソリューションにより、インサイトと重要な意思決定を促進することでこれを実現しています。

エルゼビアは、140 年以上にわたり研究および医療コミュニティの活動を支援してきました。全世界で 2,500 人以上の技術者を含む 9,500 人の従業員がおり、重要な職務における研究者や、図書館員、アカデミックリーダー、資金提供者、政府機関、R&D 関連企業、医師、看護師、将来の医療従事者や教育者を支援することに従事してきました。2,900 誌以上の科学ジャーナルと代表的な参考文献には、Cell Press、The Lancet、Gray's Anatomy など、各分野の主要なタイトルを含みます。 エルゼビア・ファウンデーション 新しいタブ/ウィンドウで開くと共に、開発途上国および世界中の科学、研究、医療分野におけるインクルージョン&ダイバーシティを推進するため、支援コミュニティと連携して活動しています。 エルゼビアは、プロフェッショナルおよびビジネス顧客向けの情報に基づく分析および意思決定ツールのグローバルプロバイダーである RELX 新しいタブ/ウィンドウで開くグループの一部です。業務内容やデジタルソリューション、コンテンツ詳細については、 www.elsevier.com/ja-jp 新しいタブ/ウィンドウで開くをご参照ください。

About Pistoia Alliance

The Pistoia Alliance 新しいタブ/ウィンドウで開く is a global, not-for-profit members’ organization made up of life science companies, technology and service providers, publishers, and academic groups working to lower barriers to innovation in life science and healthcare R&D. It was conceived in 2007 and incorporated in 2009 by representatives of AstraZeneca, GSK, Novartis, and Pfizer who met at a conference in Pistoia, Italy. Its projects transform R&D through pre-competitive collaboration. It overcomes common R&D obstacles by identifying the root causes, developing standards and best practices, sharing pre-competitive data and knowledge, and implementing technology pilots. There are currently over 200 member companies; members collaborate on projects that generate significant value for the worldwide life sciences R&D community, using the Pistoia Alliance’s proven framework for open innovation.

Media contact

headshot of Pragya Joshi, Senior Global Communications Manager at Elsevier

PJ

Pragya Joshi

Senior Global Communications Manager

Elsevier

+44 7385 477880

E-mail Pragya Joshi