Article

A Generative Virtual Tissue Model Enables Computational Design of Therapeutic Perturbation Strategies

2026-08-18

Abstract excerpt

Computational design has transformed many fields of engineering, where simulators can explore millions of candidate design configurations before experimental development and testing. Therapeutic design in biomedicine has resisted computational design approaches because disease progression and therapeutic response emerge from interactions among many cell types within human tissue, governed by biochemical parameters...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 93c50e2b-255a-5a42-b7dc-1c928edf77fb
DOI: 10.64898/2026.08.12.743536

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Generative Virtual Tissue Model Enables Computational Design of Therapeutic Perturbation StrategiesDOI 10.64898/2026.08.12.743536Read

Building Foundation Models to Characterize Cellular Interactions via Geometric Self-Supervised Learning on Spatial GenomicsSemantic proximity Read

AetherCell: A generative engine for virtual cell perturbation and <i>in vivo</i> drug discoverySemantic proximity Read

OmniPert: A Deep Learning Foundation Model for Predicting Responses to Genetic and Chemical Perturbations in Single Cancer CellsSemantic proximity Read

Generative genomics accurately predicts future experimental resultsSemantic proximity Read

Predicting how perturbations reshape cellular trajectories with PerturbGenSemantic proximity Read

scGFT: single-cell RNA-seq data augmentation using generative Fourier transformerSemantic proximity Read

PROFET Predicts Continuous Gene Expression Dynamics from scRNA-seq Data to Elucidate Heterogeneity of Cancer Treatment ResponsesSemantic proximity Read

Pan-cancer virtual spatial transcriptomics from routine histology with PhoenixSemantic proximity Read

Squidiff: Predicting cellular development and responses to perturbations using a diffusion modelSemantic proximity Read

Squidiff: Predicting cellular development and responses to perturbations using a diffusion modelSemantic proximity Read

Multi-scale modeling of human tissues from spatial transcriptomics with TERRASemantic proximity Read

CLOP-DiT: Structured-Metadata-Conditioned Single-Cell Latent Generation via Contrastive Language-Omics Pretraining and Diffusion TransformersSemantic proximity Read