Measuring blood sugar levels.

Streamlining Target Identification: A Diabetes Use Case

The rising prevalence of T1D demands new treatments. The identification and understanding of targets for T1D for developing effective drugs and alleviating patient burdens. AI can streamline this process by dramatically reducing reading time, minimizing bias and uncovering hidden target-disease insights, enabling the exploration of more promising avenues.

Written by
Elizabeth Bolitho
  • Categories
  • Target Selection
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The Need for Innovative Treatments

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Streamlining Target Identification: A Diabetes Use Case image 0
Figure 1: Percentage of T1D targets reported in primary data between 2018-2023 by target class.

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