{"artifact_id":"L1-933","layer":"L1","title":"Targeted Nanomedicine — Nanoparticle Delivery","domain":"Nanomedicine","sub_domain":"Drug Delivery","physics_fingerprint":{"intro":"Most drugs flood the whole body; nanoparticles can be engineered to navigate it and accumulate where needed — tumors, specific organs — sparing healthy tissue. Designing particles for targeted delivery is a grand pharmacological challenge.","title":"Targeted Nanomedicine — Nanoparticle Delivery","domain":"Nanomedicine","chapter":"Ch.13/15 Nanomedicine","why_hard":"Biodistribution depends on size/charge/ligand and a protein corona we barely model; the EPR effect is variable; in-vivo data are scarce and noisy.","agent_idea":"An agent that designs nanoparticles for a target organ/tumor and predicts delivery efficiency and off-target load.","approaches":["PBPK + ML surrogates of biodistribution","Generative design of particle physicochemistry / ligands","Active learning over in-vivo screens"],"sub_domain":"Drug Delivery","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.","benchmark_goal":"Predict the percent injected dose reaching the target tissue from particle design (within ~1% absolute); inverse-design for maximal targeting.","challenge_blurb":"Deliver drugs only where they're needed — design nanoparticles that navigate the body and accumulate in target tissue, sparing the rest.","challenge_group":"nano","challenge_short":"Targeted Nanomedicine","grand_challenge":true,"governing_equation":"∂C/∂t = ∇·(D∇C) − v·∇C − k_clear·C + k_on·R·C;   uptake = ∫_target C dV"},"observable_profile":{"unit":"% injected dose reaching target (higher better)","floor":5.0,"metric":"target_dose_pct","sota_reference":"Ligand-targeted nanoparticles + PBPK delivery models"},"size_tiers":{"organs":[3,8,15],"particle_designs":[100,10000,1000000]},"hardness_fn":{"type":"grand_challenge","metric":"target_dose_pct","baseline":"Compartmental PK fit","delta_tier":50},"initiator_dataset":[{"name":"Nanoparticle biodistribution corpus","weight":0.5,"ipfs_cid":null,"license_hash":null},{"name":"PBPK organ time-course set","weight":0.3,"ipfs_cid":null,"license_hash":null},{"name":"Ligand-receptor binding panel","weight":0.2,"ipfs_cid":null,"license_hash":null}],"status":"testnet","staked_pwm":5000.0,"chain_hash":null,"chain_tx_hash":null,"chain_block":null,"wp":{},"plain_intro":"Targeted Nanomedicine — Nanoparticle Delivery (Drug Delivery) is a problem in Nanomedicine. The forward model maps the hidden the unknown quantity to a measurement. The inverse goal is to recover the the unknown quantity from the observed data."}