Healthcare and life sciences

Accelerate medical research and improve treatments without compromising patient privacy

Federated Learning Cases in Healthcare & Life Sciences

ai healthcare

Collaborative Training of Clinical Models


Hospitals and research centers can join forces to improve diagnoses without sharing medical records.

federated learning healtcare

Early Detection of Rare Diseases


Combine distributed knowledge across multiple institutions to uncover patterns hidden in isolated datasets.

healthcare AI

Personalized Treatment Plans


Design therapies tailored to each patient while maintaining full data control and regulatory compliance.

federated learning Healthcare

More Efficient Clinical Trials


Speed up validations and enhance accuracy by integrating federated data from multiple medical centers.

Rare disease detection

This study demonstrates how Sherpa.ai applies Federated Learning to classify images and predict rare diseases using data from different hospital in NIH and the UCL in United Kingdom; all without transferring sensitive data. The approach enhances predictive accuracy while minimizing energy consumption and bandwidth usage — allowing participation to hospital with different technical requirements

AI platform healthcare
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