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∑ <sub>0</sub> –EvoCell: An AI-Native Ontology that Unifies Evolutionary and Cell Biology in Latent Space

2026-07-16

Abstract excerpt

Foundation models for biology achieve impressive pattern recognition on molecular sequences and single-cell transcriptomics, yet they fail to outperform simple linear baselines for predicting genetic perturbation effects, exposing a gap between statistical correlation and mechanistic understanding. This gap is compounded by an interface problem: biological knowledge lives in human-readable formats (FASTA, SBML, on...

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Literature Corpus work
c753e69f-d3c9-5883-99ad-d7305c90422d
DOI
10.64898/2026.07.15.738795
Open publication

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∑ <sub>0</sub> –EvoCell: An AI-Native Ontology that Unifies Evolutionary and Cell Biology in Latent SpaceDOI 10.64898/2026.07.15.738795
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