专业服务：应对复杂挑战的领域和数据科学专业知识

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的专业服务和一系列解决方案来支持和优化创新成果，推进您的研发。在以下支持下，自信地导航您的研发之旅：

• 从同行评审的科学文献到监管数据的可信内容

• 为机器使用准备数据的创新技术

• 以计算格式捕获科学知识的专业知识

信息完整性对您的进步至关重要。发现将复杂性转化为科学见解的可信数据和工具。让我们共同塑造进步。