Artificial Intelligence in Healthcare: From Disease Prediction to Personalized Treatment
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 20 November 2025 | Viewed by 384
Special Issue Editor
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) is rapidly transforming the landscape of modern medicine, offering unprecedented tools for diagnosis, treatment planning, drug discovery, and patient care. From predictive analytics to intelligent clinical decision support systems, AI technologies are increasingly being integrated into medical practice, enhancing accuracy, efficiency, and personalised care. Recent advances in AI, particularly deep learning and generative AI have further demonstrated significant potential in areas such as medical imaging, genomics, pathology, and real-time health monitoring.
This Special Issue aims to explore the latest breakthroughs and future directions in the application of AI in medicine. We are particularly interested in research that addresses critical challenges such as the interpretability and transparency of AI approaches (explainable AI), the acceleration of pharmaceutical research through AI-driven drug discovery, and the application of deep learning models for disease detection and diagnostic support. By bringing together cutting-edge research and interdisciplinary perspectives, the aim of this Special Issue is to highlight the evolving role of AI in shaping the future of medical science and healthcare delivery.
Recommended topics include, but are not limited to, the following:
- AI for early detection and diagnosis of chronic diseases;
- Explainable AI for medical applications;
- AI-driven drug discovery and development, including clinical trials;
- Deep learning applications in medical imaging;
- AI in personalised and precision medicine;
- Genearive AI for early detection, diagnosis and management;
- Machine learning and deep learning for genomics and proteomics.
Dr. Samuel Danso
Guest Editor
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Keywords
- ariticial intelligence
- deep learning
- generative AI
- early detection
- diagnosis
- personalised medicine
- explainability
- drug discorvery
- disease management
- clincal trials
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