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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Han-Chen Wang

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#small language model Oct 2026

Archetype analysis of multiplexed antibody imaging reveals interpretable morphological programs in optical pooled screens

High-content imaging-based screens with small molecule or genetic perturbations rely on rich optical phenotypes, yet how distinct subcellular markers contribute complementary biological information remains unclear. Here, we introduce CellMAPP, a multiplexed organelle imaging platform that uses optical pooled screens wi...

Paula Coelho, Ana Carolina Leote, He-Ming Yao et al. · 0 citations
Open access Sep 2026

An Integrated Atlas of the Human Kidney Spanning Health and Disease

This work assembled 18 human kidney single-cell and single-nucleus RNA-sequencing datasets spanning 232 donors and five major disease contexts into a uniformly processed and computationally integrated Human Kidney Cell Atlas (HKCA).

Konstantinos Stasinos, Han-Chen Wang, A. Predeus et al. · 0 citations
#explainable ai Review Open access Sep 2026

AutoScreen: AI Co-Scientist System for Target Discovery in Functional Genomics

This work introduces AutoScreen, an AI co-scientist system supporting target discovery through both Pre-screen Design, which constructs perturbation libraries de novo from free-text research descriptions, and Post-screen Analysis, which re-ranks experimental screen hits by integrating statistical scores with biological...

Yuan-Hao Qu, Xu-Feng Liu, Xiao-Tong Wang et al. · 0 citations
Open access Aug 2026

Perturb-ME: Scalable mechanism discovery from phenotype-enriched genome-wide screens

Perturb-ME, along with agentic interpretation, provide a scalable framework for comprehensive functional discovery from phenotype-enriched genetic screens and combines genome-scale CRISPR screening, phenotype-based enrichment and multimodal single-cell profiling.

Han-Chen Wang, Jiacheng Gu, Chris J. Frangieh et al. · 0 citations
Jul 2026

Autonomous biomedical research with an artificial intelligence agent.

Biomni envisions artificial intelligence augmenting human scientists and accelerating discovery by interpreting multi-modal datasets, optimizing protein stability, orchestrating wet-lab instruments, and generating experimentally testable protocols.

Kexin Huang, Serena Zhang, Hanchen Wang et al. · 19 citations · ⚡2

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