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Elsevier
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專業服務:應對複雜挑戰的領域和數據科學專業知識

您需要值得信賴的合作夥伴來應對複雜的數據挑戰並改善創新成果。愛思唯爾專業服務是一支敏捷的顧問團隊,支援定製數據集成和應用分析。與愛思唯爾一起走得更遠、更快。

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R&D informatics

Human brain technology

Develop custom algorithms and apply machine learning to create an integrated and harmonized source of data. Elsevier can help with:

  • Data integration and harmonization

  • Workflow solutions

  • Text-mining applications

  • Cheminformatics

Risk analysis

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Develop custom reports to answer key R&D and safety questions. Elsevier can help answer questions such as:

  • Which studies have been conducted for similar compounds and what were the findings?

  • What adverse events might occur based on molecular structure and class?

  • What are the most predictive preclinical species for understanding human toxicity?

  • What is the potential risk of litigation based on drug failure?

Target analysis

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Accelerate early discovery activities through access to critical disease or target overview information to prioritize research focus areas. Elsevier can help you answer key research questions, such as:

  • Which diseases might this target treat?

  • What are the potential adverse events and drug interactions?

  • Are there known molecules likely to be test molecules?

  • What new target may exist to treat a specific disease with less side effects?

  • How does each target score based on pathway activation, gene expression, and an overall literature analysis?

Pathway analysis

Hedge maze

Develop a more thorough understanding of the chemical risk of a compound based on the analysis of biological pathways in the human body and underlying molecular mechanisms that can cause diseases. Our team can help answer questions such as:

  • What are the key cells to target for a particular disease?

  • Which proteins are relevant in my disease of interest?

  • What are the biomarkers on the path to toxicity?

  • Which molecular mechanisms are linked to disease outcomes?

Drug repurposing decisions

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Access detailed custom reports and predictive analytics to support critical drug repurposing decisions. These solutions include:

  • Text mining for possible drug indications in the scientific literature

  • Prediction of new drug indications based on drug target biology and efficacy of other drugs in the same class

  • Scoring mechanism to identify most promising repurposing candidates

Disease-centric repurposing includes pathway analysis to identify:

  • Signaling affected in a disease

  • Compounds targeting proteins in the disease pathway

  • Known drugs to inhibit proteins

互聯、可配置的解決方案,以創新研發

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利用Elsevier的專業服務和一系列解決方案來支援和優化創新成果,推進您的研發。在以下支援下,自信地導航您的研發之旅:

  • 從同行評審的科學文獻到監管數據的可信內容

  • 為機器使用準備數據的創新技術

  • 以計算格式捕獲科學知識的專業知識

資訊完整性對您的進步至關重要。發現將複雜性轉化為科學見解的可信數據和工具。讓我們共同塑造進步。

Core capabilities we apply to drive customer success

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Semantic technologies

Model, annotate and enrich data into rich, machine-readable and contextualized data using semantic analytics software.
Picto big data

Data integration and harmonization

Integrate and harmonize data in multiple formats with proprietary and industry-standard ontologies and taxonomies.
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Workflow solutions

Extract and query data to develop custom repositories or dashboards and new, integrated points of access.
Picto accepted manuscript

Custom reporting

Create custom reports and analytics based on Elsevier data, customer data and externally published information.
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Predictive analytics and machine learning

Develop custom algorithms and apply industry-leading algorithms and machine learning techniques.