AI-Powered Diagnostics for Antimicrobial Resistance (AMR)

Revolutionizing Infection Treatment with AI-Driven Insights

Antimicrobial resistance (AMR) is a growing global crisis, with over 1.27 million deaths annually linked to drug-resistant infections (The Lancet, 2022). In Pakistan alone, 70% of bacterial infections show resistance to common antibiotics, making treatment failures more frequent and dangerous (NIH Pakistan, 2023). PathoPrint is on a mission to change that.

The AMR Crisis – Why It Matters

Global Impact

Pakistan’s Growing AMR Challenge

How
PathoPrint
Works

How PathoPrint Works

AI-Powered Data Collection

Integrates Culture & Sensitivity (C/S) test reports from hospitals, labs, and research institutions.

Resistance Pattern Analysis

Uses machine learning to detect regional & hospital-specific AMR trends.

Smart Antibiotic Recommendations

AI suggests optimized treatment options based on real-time bacterial resistance data.

Continuous Learning & Improvement

Updates its AMR prediction model as new lab data becomes available.

PathoPrint aims to assist doctors and healthcare providers in making data-driven antibiotic decisions, with the goal of reducing treatment failures and supporting AMR control efforts.

Who Can Benefit from PathoPrint?

Hospitals & Clinics

AI-powered reports for faster, more accurate treatment decisions.

Diagnostic Labs

Upgrade traditional C/S tests with AI-driven insights.

Doctors & Pharmacists

Reduce treatment failures and improve patient outcomes.

Government & Public Health Agencies

Track nationwide AMR trends for better policymaking.

Pharmaceutical Companies

Get AI-driven insights into bacterial resistance patterns for drug development.

AI-Powered Diagnostics for Antimicrobial Resistance (AMR)

Join the Fight Against AMR

PathoPrint is currently partnering with hospitals, research institutions, and healthcare organizations to build the most advanced AI-driven AMR diagnostic tool.