A term I had not hear before, though the work on protein folding might be included? Also sounds somewhat like process mapping, applied to genes and protein activity. With visual hints to bring in the human researchers to new discoveries? The thought is intriguing.
AI Tools Will Help Us Make the Most of Spatial Biology in AITrends
In spatial biology, we can anticipate that applying AI to cell-by-cell maps of gene or protein activity will pave the way for significant discoveries. (David W. Craig, Ph.D.)
Contributed Commentary by David W. Craig, Ph.D. and Brooke Hjelm, Ph.D.
We have heard a lot about cellular and tissue spatial biology lately, and for good reason. Tissues are heterogeneous mixtures of cells; this is particularly important in disease. Cells are also the foundational unit of life, and they are shaped by those cells proximal to them. Not surprisingly, the research field sought to survey cellular and tissue heterogeneity. The last decade saw massive adoption of single-cell sequencing RNA. This approach requires that we disaggregate cells, leading to accounting and characterization of cell populations, but at the same time losing their spatial context such as their proximity to other cells or where they fit with traditional approaches such as histopathology. .... "
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