Deep Learning and Machine Learning Applications in Biomedicine
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: closed (20 July 2024) | Viewed by 5803
Special Issue Editor
Special Issue Information
Dear Colleagues,
Biomedicine has been significantly transformed by the integration of artificial intelligence (AI) techniques, particularly machine learning (ML) and deep learning (DL). These technologies have revolutionized the way medical data are analyzed, diagnoses are made, and treatment strategies are developed. Deep learning and machine learning have been widely applied in disease diagnosis, personalized medicine, drug discovery, medical imaging, prognosis analysis, and in the explanation of pathogenic mechanisms.
As technology in the biomedical field continues to evolve, the omics categories and scale of data are experiencing continuous growth, leading to new computational method requirements. Although a large number of new methods including neural network architecture, optimization techniques, regularization methods, data enhancement strategies and transfer learning have been proposed, how to apply them to the biomedical field remains a major challenge.
This Special Issue is dedicated to the publication of cutting-edge algorithmic innovations in deep learning and machine learning, specifically applied to the biomedical field's most pressing problems.
Dr. Tianyi Zhao
Guest Editor
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Keywords
- deep learning
- machine learning
- disease diagnosis
- personalized medicine
- drug discovery
- medical imaging
- prognosis analysis
- pathogenic mechanism
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