数据与复现临床医学与医药FreedomIntelligence/OpenClaw-Medical-Skills数据与复现

radiomics-pathomics-fusion-agent

维护者 FreedomIntelligence · 最近更新 2026年4月1日

Extract radiomic and pathomic features and integrate for predictive modeling.

OpenClawNanoClaw分析处理复现实验radiomics-pathomics-fusion-agent🧠 bioos extended suiteoncology & precision medicine agentsextract

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/radiomics-pathomics-fusion-agent

技能摘要

2 min

Radiomics Pathomics Fusion Agent integrates multimodal medical imaging data ，面向 radiology (CT，MRI，PET) 、 digital pathology (H&E，IHC whole slide images) ，支持 clinical 、 genomic data ，使用深度学习 fusion architectures. It enables comprehensive cancer phenotyping，treatment response prediction，、 prognostic modeling。
When predicting treatment response ，使用 multimodal imaging。
用于 comprehensive tumor phenotyping combining macro 、 micro views。
To identify imaging biomarkers correlated ，支持 genomic features。
When building prognostic models ，面向 combined radiology-pathology。

原始文档

Cross-Modal Fusion: Integrate radiology and pathology features using attention.
Radiomics Extraction: Compute 3D texture, shape, intensity features from CT/MRI.
Pathomics Extraction: Extract histopathological features from WSI.
Clinical Integration: Combine imaging with clinical variables and genomics.
Treatment Response Prediction: Predict chemotherapy, immunotherapy response.
Survival Prediction: Multi-modal prognostic modeling.

Modality	Features Extracted	Resolution
CT	Texture, shape, density	Volumetric 3D
MRI	Multi-sequence, perfusion	Volumetric 3D
PET	SUV, metabolic features	Volumetric 3D
H&E WSI	Nuclear, tissue architecture	40x magnification
IHC WSI	Marker quantification	20-40x
Multiplexed IF	Spatial protein patterns	Subcellular

Architecture	Method	Strengths
Early Fusion	Concatenate features	Simple, baseline
Late Fusion	Combine predictions	Modular
Attention Fusion	Cross-modal attention	Interpretable
Multimodal Transformer	Self-attention across modalities	State-of-art
Graph Fusion	GNN for relationships	Spatial awareness