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Paxera Health

Paxera Health provides an AI-native platform that augments existing organ transplant allocation infrastructure by modeling thousands of donor-recipient match combinations simultaneously. The system incorporates clinical, logistical, and compatibility variables, with deep learning models that optimize kidney exchange networks and learn from every new outcome. Decision support tools help transplant coordinators and nephrologists weigh acceptance, prioritization, and logistics in real-world time constraints.

Traction 5/10
Boston, United States · HQ
Founded 2026550+ followers
  • Healthcare Technology
  • Artificial Intelligence
  • Digital Health
  • Software Only
  • Data & Analytics
Updated 5 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

More than 100,000 patients are waiting for organ transplants in the United States, yet over 28,000 organs are wasted every year. The current allocation system fails to identify viable matches in time, causing patients to die while waiting even when compatible organs exist.

Solution

Paxera Health provides an AI-native platform that augments existing transplant allocation infrastructure rather than replacing it. The platform models thousands of donor-recipient match combinations at once, incorporating clinical, logistical, and compatibility variables to identify viable matches faster and expand compatible recipient pools. Deep learning models optimize kidney exchange networks, improving outcomes for both patients and donors. The system learns from every new outcome, continuously improving its matching accuracy. Decision support tools help coordinators and nephrologists weigh acceptance, prioritization, and logistics in real-world time constraints.

Target Audience

Primary customers are transplant centers, organ procurement organizations, researchers, and policymakers working to improve organ allocation and transplant outcomes.

Features

  • AI-native matching engine that models thousands of donor-recipient combinations simultaneously
  • Deep learning models that optimize kidney exchange networks across the whole exchange network
  • Decision support tools for coordinators and nephrologists weighing acceptance, prioritization, and logistics
  • Provenance tracking across the preservation and transplantation supply chain for transparency and security
  • De-identified and aggregated data collaboration for researchers working on network-based allocation modeling
  • Designed to expand access for underrepresented communities in transplant matching
This profile is AI-generated and may contain inaccuracies.