Application of Artificial Intelligence for Medical Research, 2nd Edition

Dear Colleagues,

In the enlightened postgenomic era, it is possible to obtain a large quantity of omics data, such as genome, epigenome, transcriptome and proteome data and medical images, with detailed clinical information. However, until recently, it was technically difficult to efficiently analyze enormous amounts of medical data in an integrated manner. Recent progress in artificial intelligence (AI) technology, which is mainly based on the development of machine learning and computer performance, has enabled the integrated analysis of medical big data. In particular, deep learning, a component of the broader family of machine learning methods based on learning data representations, is responsible for many of the new breakthroughs in AI, and it has already been reported that deep learning can outperform humans in many tasks. With this Special Issue, we aim to cover the application of artificial intelligence in medical research, with a particular focus on the integrated analysis of medical omics data using machine learning and deep learning. The articles presented in this Special Issue will include review manuscripts, research manuscripts, and short contributions.

Dr. Ryuji Hamamoto
Guest Editor

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