CellPrism: A Visual Analytics System for Exploring AI-Driven Virtual Cells in Drug Discovery
Gene perturbation analysis plays a critical role in drug discovery by enabling researchers to investigate how interventions on specific genes influence global gene expression patterns within cells. Recent advances in artificial intelligence-driven virtual cell models have made it possible to predict gene expression outcomes for a wide range of perturbation strategies in silico, substantially reducing reliance on costly and time-consuming biological experiments. However, effectively exploring and
Record details
Published: 3 August 2026
Source: arXiv cs.HC
Category: Research
Topics: Healthcare · Finance, VC & PE · Biotech
Retrieved: 4 August 2026
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How to cite this record
ethics.ai (3 August 2026), “CellPrism: A Visual Analytics System for Exploring AI-Driven Virtual Cells in Drug Discovery,” evidence record 16122, https://ethics.ai/record/16122 (originally published by arXiv cs.HC).
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