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clinical

aminobots lens — kidneycare

codename · KidneyCare

Smartphone urine dipstick reader

Smartphone AI urine dipstick + IoT vitals for pediatric nephrotic syndrome. Three-stage CNN pipeline. APIIC + NIDHI-DST funded. TRL 4→6 toward CDSCO Class B.

11s end-to-end$0.08 per readκw 0.87 vs lab live · v1.2
architecture
Architecture diagram renders here · click any layer for details. For the live mockup we keep this lightweight — the rendered detail page in production has the full SVG with click-through.
.blueprint.yaml
# Aminobots Lens — KidneyCare · live · v1.2
agents:
  - identifier:  distilbert_router
  - responder:   domain_agent_v2
  - escalation:  human_handoff
llm_routing:
  tier1:  deepseek_flash   # 80%
  tier2:  qwen_3_6         # 15%
  tier3:  claude_sonnet   # 5%
safety_gates:
  limbic_veto:  enabled
  pii_filter:   strict
  audit_trail:  all_stages
deploy_target:  aws_bedrock_agentcore
call the api · python
from aminobots import Blueprint

bp = Blueprint.load("lens-kidneycare")
session = bp.run(
  message="...",
  user_id="demo_user_001"
)
print(session.reply)
print(session.trace)  # audit + routing
try in browser
[ready] sandbox warming up · response in ~400ms once you submit
< 1s p95 $0.02 of $25.00 pii redacted
deploy to your cloud
aws cdk at mvp · azure + gcp in phase 2
clear scorecard
evaluated against production traffic · anonymised
C
89
L
91
E
87
A
93
R
90
source
· deployed as KidneyCare @ AIIMS Patna · κw 0.87 vs lab, n=30
· Aminobots-only · no Nehish sibling (not BFSI)
· license · commercial · aminobots blueprint license