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Federated Learning Health Research

Meaning

Federated Learning Health Research is a decentralized machine learning approach where computational models are trained collaboratively across multiple, independent clinical sites or patient cohorts holding local data samples, without the data ever being exchanged or centralized. This paradigm allows researchers to leverage vast, diverse datasets of hormonal profiles and clinical outcomes to build powerful predictive models while strictly preserving patient privacy and adhering to data governance regulations. It accelerates the discovery of complex endocrine biomarkers and personalized treatment strategies.