TAU develops AI tool to decode cell responses to cancer treatments

Jerusalem Post - 02/04
The innovative system merges two previously separate streams of biological data: gene activity at the single-cell level and know interactions between genes.

A new artificial intelligence-based method developed at Tel Aviv University could significantly enhance our understanding of how cells respond to drug treatments - especially within complex environments like cancerous tumors.

The innovative system, called scNET, merges two previously separate streams of biological data: gene activity at the single-cell level a...
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