AR
Design armored CAR-T cells with cytokine payloads and resistance mechanisms.
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数据与复现
DI
digital-twin-clinical-agent
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Create patient digital twins for treatment simulation and outcome prediction.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/digital-twin-clinical-agent
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- Digital Twin Clinical Agent creates AI-powered virtual replicas of individual patients by integrating genomics，imaging，wearable data，、 clinical records. These digital twins enable clinical trial 模拟，treatment response prediction，、 personalized therapeutic optimization，qualified by EMA 、 aligned ，支持 FDA guidance。
- When simulating clinical trial outcomes ，用于 drug development。
- 用于 creating patient-specific treatment response predictions。
- To optimize clinical trial design 、 reduce sample sizes。
- When predicting individual patient trajectories。
原始文档
SKILL.md 摘录
Core Capabilities
-
Patient Digital Twin Creation: Build comprehensive patient models.
-
Clinical Trial Simulation: Predict trial outcomes virtually.
-
Treatment Response Prediction: Individualized response modeling.
-
Counterfactual Generation: "What-if" treatment scenarios.
-
Longitudinal Prediction: Forecast disease trajectories.
-
Trial Design Optimization: Reduce sample sizes, improve power.
Digital Twin Components
| Component | Data Sources | Models |
|---|---|---|
| Genomic Twin | WES/WGS, RNA-seq | Mutation effects, expression |
| Phenotypic Twin | EHR, labs, vitals | Clinical trajectories |
| Imaging Twin | CT, MRI, pathology | Tumor dynamics |
| Behavioral Twin | Wearables, PROs | Activity, symptoms |
| Pharmacokinetic | Drug levels, metabolism | PK/PD models |
Clinical Applications
| Application | Use Case | Benefit |
|---|---|---|
| Trial Simulation | Virtual control arms | Reduce placebo patients |
| Dose Optimization | Individual PK/PD | Personalized dosing |
| Treatment Selection | Compare therapies | Optimal choice |
| Progression Prediction | Disease trajectory | Early intervention |
| Drop-off Prediction | Compliance forecasting | Retention improvement |
适用场景
- When simulating clinical trial outcomes ，用于 drug development。
- 用于 creating patient-specific treatment response predictions。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
上游相关技能
- Virtual_Lab_Agent - AI research coordination
- Multimodal_Radpath_Fusion_Agent - Data integration
- Multi_Ancestry_PRS_Agent - Genetic risk
- ctDNA_Dynamics_MRD_Agent - Disease monitoring
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