Applications of AI in Biomedical Engineering for Healthy Ageing
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 1277
Special Issue Editor
Interests: Artificial intelligence; cancer; deep learning; image segmentation and classification; machine learning; medical image analysis; personalized medicine; prognostication; radiomics; risk stratification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The elevating accessibility of biomedical data from biobanks, medical imaging, electronic health records, and wearable biosensors have prepared the ground for multi-modal big data analyses and the development of sophisticated AI solutions that can capture the complexity of human diseases and hence facilitate the clinical decision-making processes toward personalized medicine. Aging is a universal, gradual, and irreversible process that every human encounters; examples of aging-associated diseases cover, but are not limited to, neurodegenerative diseases, cardiovascular diseases, metabolic diseases, musculoskeletal diseases, sarcopenia, cancers, and immune system diseases. With the rapidly growing aging population worldwide, promoting healthy aging is in pressing demand. To this end, there is a huge potential for us to leverage global solidarity to develop advanced AI solutions for healthy aging. This Special Issue on “Applications of AI in Biomedical Engineering for Healthy Ageing” aims to collect reviews, basic research, and clinical/technical studies that employ AI in biomedical engineering to resolve existing challenges towards healthy aging.
Dr. Sai Kit Lam
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence in healthy aging
- aging-associated diseases
- cancer
- deep learning
- image segmentation and classification
- machine learning
- medical image analysis
- personalized medicine
- prognostication
- risk stratification
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