Presenting at Hub71+ Life Sciences

Real-Time AI-Powered
AMR Diagnostics

From Patient Sample to Actionable Antibiotic Recommendations in Under 90 Minutes instead of 72 hours. Empowering clinicians with point-of-care genomic intelligence.

pathogenIQ_dashboard.py

# Monitoring Oxford Nanopore Stream...

Status: Active Python watch_directory live

🎯 Pipeline Output Sample:

• Species Identified: S. aureus (MRSA)

• Gene Profile Detected: mecA, blaKPC

• Prediction Engine: ESM-2 + XGBoost

• MIC Profile Generated: 30+ Antibiotic Classes

🔒 100% On-Premise Inference (Zero Cloud Data Egress)

The Critical Challenge

A patient in the ICU is dying of a severe infection. Clinicians face an impossible choice: wait 3 days for standard culture labs, or guess empirically with broad-spectrum therapeutics.

1.27M

Annual Global AMR Deaths

39M

Projected Deaths by 2050

72 Hrs

Standard Culture Latency

80%+

Empirical Rx Without Confirmation

Meet PathogenIQ Platform

India's first AI-driven Antimicrobial Resistance (AMR) and rare disease point-of-care diagnostic engine.

🧬

Nanopore Native Workflow

Leverages Oxford Nanopore MinION devices to process raw electrical squiggle signals immediately on-site, converting them rapidly into sequence strings data streams.

🤖

Deep Protein Language Models

Utilizes ESM-2 and custom XGBoost regressors to decode resistance genes against global curated repositories (CARD/PATRIC) with 85%+ accuracy on target validation benchmarks.

🛡️

Zero-Trust Local Inference

Runs 100% locally on a cost-effective consumer GPU (RTX 5070). Fully compliant with India’s DPDP and UAE’s PDPL health privacy acts — no clinical data egress to external clouds.

The End-to-End Pipeline Under 90 Minutes

Step 1: Input Data

Biological Stream

Patient blood, sputum or urine sample passed through an Oxford Nanopore device yielding raw .fast5 / .pod5 signals.

Step 2: Basecalling

Dorado Native Processing

Real-time local GPU pipeline basecaller maps signal fluctuations directly to standard genomic string character formatting (.fastq).

Step 3: AI Inference

ESM-2 + XGBoost

Identifies pathogen species instantly and generates predictive MIC profiles across 30+ core antibiotic treatment compounds.

Step 4: Actionable Output

WHO AWaRe Clinician View

Pushes precise diagnostic records directly to hospital HIS dashboards via fully compatible FHIR interfaces.

Strategic Expansion Pathway

1

Abu Dhabi & GCC Beachhead

Deploying via Hub71+ Life Sciences to bridge directly into Seha, DHA, and Cleveland Clinic Abu Dhabi hospital diagnostic purchasing loops.

2

India Deep Market Core

Targeting private medical infrastructures with scaling milestones tracking towards ₹52 Crore revenue by Year 5 via diagnostic fees and hospital SaaS models.

3

Global EU Entry

Structured CE Marking strategy designed and managed through our dedicated Netherlands co-founding pathways.

The 12-Month Execution Matrix

  • Complete full clinical validation study (300+ patient samples)
  • Secure 2 formal signed hospital pilot agreements in Abu Dhabi
  • Submit regulatory files for CDSCO Class B evaluation in India
  • Initiate target Seed/Series A fundraising window
Cross-Jurisdiction Presence: Thrissur (Kerala, India) • Goa • Netherlands • UAE

Partner with AMRIRIS

We are building the world's most defensible, real-time microbial resistance information asset while saving lives at the point of clinical interaction. Join us.