Sofia Ira Ktena

This paper introduces Swarm Learning, a decentralized machine learning approach for disease classification using transcriptomic data, demonstrating its effectiveness in developing classifiers for COVID-19, tuberculosis, and leukemias while preserving privacy.

The paper shows that brain connectivity measures, specifically rich club organization and path-length, improve prediction of functional outcomes after acute ischemic stroke.

This study shows that the number of rich-club brain regions affected by stroke predicts worse functional outcomes better than traditional markers like lesion volume and age.