Scientific Insights

Navigating the Biomedical Literature: Insights vs. Papers

With 2 publications added to PubMed every minute, identifying therapeutic targets with traditional keyword searching is time-consuming, causes reading fatigue and is subject to bias. By machine-reading the literature, Causaly manages this data overload, extracting scientific insights rather than papers, to enable the exploration of more novel avenues.

Written by
Elizabeth Bolitho
  • Categories
  • Disease Pathophysiology
  • Target Selection
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Managing the Data Overload

Harnessing AI for Scientific Insights

Navigating the Biomedical Literature: Insights vs. Papers image 0
Figure 1: Network view showing pathways which may mediate the effect of HDGF on HD.

Scientific Insights vs. Papers

Navigating the Biomedical Literature: Insights vs. Papers image 0
Figure 2: Comparison of search results returned from Causaly and PubMed.

Save Time, Reduce Bias, Make Better Decisions

References

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