Axes of a revolution: challenges and promises of big data in healthcare

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FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space (2021, background): “Data collaboration across multiple medical institutions is increasingly desired to build accurate and robust data-driven deep networks for medical image segmentation [7, 18, 50].”
How Machine Learning will Transform Biomedicine (2020, unknown): “genomic testing for personalized treatment of cancer, high-resolution two-and threedimensional anatomical imaging of organs, histological analyses of tissue biopsies, and smart watches that monitor heart rates and notify wearers of irregularities (Shilo et al., 2020).”
Federated learning for predicting clinical outcomes in patients with COVID-19 (2021, methodology): “This can be mitigated by training with diverse data from multiple sites without centralization of data 33 using methods such as transfer learning 34,35 or FL. FL is a method used to train AI models on disparate data sources, without the data being transported or exposed outside their original…”