專業服務：應對複雜挑戰的領域和數據科學專業知識

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

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?

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?

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?

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

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。