Vol. 2 No. 3 (2023): Volume II, Issue III, 2023
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Federated Learning for Cross-Institutional Genomic Data Analysis in Rare Disease Prediction
Abstract 51
Rare diseases, individually uncommon but collectively impactful, pose substantial challenges for genomic research due to limited patient data availability. Centralized machine learning approaches are often infeasible because of privacy concerns, heterogeneity of datasets, and regulatory restrictions. Federated learning (FL), a decentralized machine learning paradigm, enables collaborative model ... read more
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Ethical Implications of Autonomous Robotics in Patient Monitoring and End-of-Life Care
Abstract 41
The advent of increasingly autonomous robotic systems for patient monitoring and end-of-life (EOL) care poses significant ethical, legal, technical and organizational challenges for healthcare delivery. Such systems promise improvements in continuous monitoring, early detection of clinical deterioration, resource optimization, and enhanced access to care. At the same time, they raise fundamenta ... read more