Lists (5)
Stars
Live MCP control of the visible draw.io canvas for step-by-step scientific illustration in Codex.
A generative toolkit to translate H&E images to multiplexed IHC
[ICML2026] MoLF (Mixture-of-Latent-Flow): Pan-Cancer Spatial Gene Expression Prediction from Histology
Single-cell spatial omics analysis that makes you happy!
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works…
Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis (CVPR 2026)
Highly accurate prediction of single-cell spatial transcriptomics from histology images
Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc.)
Awesome-AI-Virtual-Cell: papers, datasets, benchmarks, talks, and community resources for AIVC
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
[ICLR 2026] π^3: Permutation-Equivariant Visual Geometry Learning
Awesome papers & datasets specifically focused on pathology.
Spatial Expression-Aligned Learning to improve pathology foundation models
Research code accompanying AlphaGenome
Single-cell perturbation effects prediction benchmark
State is a machine learning model that predicts cellular perturbation response across diverse contexts
GigaTIME: Multimodal AI generates virtual population for tumor microenvironment modeling (Cell)
Open-source framework for the research and development of foundation models.