# ⚛  L1 Principle — Targeted Nanomedicine — Nanoparticle Delivery

**ID:** `L1-933` · **Status:** ⊙ Testnet (genesis catalog)

> **🌐 Domain:** Nanomedicine — *Drug Delivery*

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## 🧠 1. Introduction

**Targeted Nanomedicine — Nanoparticle Delivery** is a **inverse problem**, within the **Drug Delivery** sub-domain of **Nanomedicine**.

## ⚙ 2. Forward Model

```
Whole-body nanoparticle pharmacokinetics: convection–diffusion–reaction transport with size/charge/ligand-dependent clearance and receptor binding; tumor uptake via the EPR effect and active targeting.
```

## 🔬 3. Physics Fingerprint

| Property | Value |
|---|---|
| Domain | Nanomedicine |
| Sub domain | Drug Delivery |

## 📡 4. Measurement Model

| Metric | Value |
|---|---|
| Metric | target_dose_pct |

## ⚖ 6. Hardness Function

Hardness scales as **`grand_challenge`** on **target_dose_pct**.

## 💾 7. Reference Dataset

- **Nanoparticle biodistribution corpus** · weight 0.5 · IPFS _(not pinned yet)_
- **PBPK organ time-course set** · weight 0.3 · IPFS _(not pinned yet)_
- **Ligand-receptor binding panel** · weight 0.2 · IPFS _(not pinned yet)_

**Staked PWM:** 5000.0

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## File Mapping

This bundle consists of: `L1-933.md`, `L1-933.json`.

| File | Role | How to regenerate |
|------|------|-------------------|
| `L1-933.md` | Source of truth — edit this | Human or LLM |
| `L1-933.json` | Structured metadata for the registry | LLM regenerates from the sections above |

**Prompt for your LLM after editing this Markdown:**

> Read the attached Markdown. Regenerate the sibling `.json` so every field matches.
> Preserve the schema documented in the rows above.
> Output each file in its own fenced code block tagged with the filename.
> Output only the JSON object.

_This Markdown was auto-synthesized from the catalog row for `L1-933`._
_Edit it, regenerate the JSON, and submit at [/submit](/submit) to claim the artifact._