digital-twin-patient-builder
Build digital twin patient models to test drug efficacy and toxicity in virtual environments
npx skills add majiayu000/claude-skill-registry --skill digital-twin-patient-builder --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Digital Twin Patient Builder (ID: 208) ## Function Overview Build a "digital twin" model of a patient, integrating genotype, clinical history, and imaging data to test the efficacy and toxicity of different drug doses in a virtual environment. ## Use Cases - Personalized drug treatment plan design - Drug dose optimization - Adverse reaction risk assessment - Clinical trial virtual simulation ## Input | Data Type | Description | Format | |---------|------|------| | `genotype` | Patient genotype data (SNPs, CNVs) | JSON | | `clinical_history` | Clinical history and laboratory indicators | JSON | | `imaging_features` | Imaging features (MRI, CT, etc.) | JSON | ## Output | Output Type | Description | |---------|------| | `efficacy_prediction` | Efficacy prediction results | | `toxicity_prediction` | Toxicity reaction prediction | | `optimal_dose` | Optimal dose recommendation | ## Usage ### Command Line Usage ```bash python scripts/main.py --patient patient_data.json --drug drug_profile.json --doses "[50, 100, 150]" ``` ## Parameters | Parameter | Type | Default | Required | Description | |-----------|------|---------|----------|-------------| | `--patient` | string | - | Yes | Path
- Function Overview
- Use Cases
- Input
- Output
- Usage
- Command Line Usage
- Parameters
- Python API
- Technical Architecture
- Dependencies
- Example Data Format
- Patient Data (patientdata.json)
- Drug Profile (drugprofile.json)
- Model Principles
python scripts/main.py --patient patient_data.json --drug drug_profile.json --doses "[50, 100, 150]" Python dependencies pip install -r requirements.txt
What does the digital-twin-patient-builder skill do?
Build digital twin patient models to test drug efficacy and toxicity in virtual environments
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill digital-twin-patient-builder --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.