Applications of Machine Learning and Deep Learning in Precision Medicine

Dear Colleagues,

Humans are the most observed species on the globe and data acquired from humans over time is not only heterogeneous but similarly very enriched. Human medical mega datasets hold huge potential to feed algorithms that are trained to identify specific patterns and to operate automatically within use cases and given areas based on the training examples. This all could revolutionize precision medicine and bring clinical care to the next level.

The recent developments have shown immense trust and growing confidence in machine learning techniques to increase the quality of life in almost every field of life. Similarly, this is the case in health care and precision medicine. This Special Issue aims to report innovative algorithms and applications of Artificial intelligence, machine learning, and deep learning to achieve and enhance precision medicine. We welcome the experimental studies and ongoing research on the specialized techniques of data preparation, modelling, training, as well as their outcome in precision medicine. Similarly, some special concerns and challenges attached to the ML and DL with reference to the topic of medicine should be given extra attention and need to be addressed explicitly. For instance, the topics such as the heterogeneity of medical data, in sufficient quality of datasets, privacy, and anonymity concerns are centric to this Special Issue call.

The Special Issue will publish original research articles, short communications and reviews from (but not limited to) the following research areas: Clinical Artificial Intelligence, Machine learning in precision medicine, AI in Individual Medicine. AI in Personalized Medicine, Algorithm and Architectures supporting precision medicine.

Prof. Dr. Abdul Rahman Asif
Prof. Dr. Jan Jürjens
Guest Editors

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