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Editorial: Special Section on Challenges and Opportunities in Biomedical Big Data Analysis: From Large Language Models to Clinical Applications
2
Zitationen
5
Autoren
2024
Jahr
Abstract
Recent years have witnessed exponential growth in both the volume and complexity of biomedical data generated, which encompasses a diverse array of sources, including genomic sequences, clinical imaging, electronic health records, and real-time biometric sensing. This deluge of data has surpassed our traditional methods' abilities to efficiently process, analyze, store, and interpret, posing substantial challenges across the biomedical and healthcare sectors. These challenges are not only technical, involving data management and computational efficiency but also extend to ethical, legal, and privacy concerns. Despite these challenges, significant opportunities exist for advancements in personalized medicine, disease biomarker prediction, and early diagnosis of diseases.
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