Biology Research

Leveraging AI for Scientific Knowledge Extraction

AI is transforming the analysis of extensive biomedical data, allowing pharma companies to expedite R&D processes, and cut costs. By reaching conclusions quicker, the inclusion of AI in drug development pipelines can inform decision-making, enabling the prioritization of more promising research avenues.

Written by
Elizabeth Bolitho
  • Categories
  • Disease Pathophysiology
  • Target Selection
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The Cost of Drug to Market is Increasing

The Impact of AI in Drug Discovery

Identifying Targets from the Biomedical Literature

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Figure 1: Dendrogram view of targets for chronic pancreatitis and the corresponding target-disease relationships identified, using SPINK1 as an example.

Potential Mediators of the Target-Disease Effect

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Figure 2: Network showing proteins which may mediate the effect of SPINK1 on chronic pancreatitis using Causaly’s hypothesis generation tool.

Fail Early, Fail Fast

References

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