Recent technological advancements in data acquisition tools allowed life scientists to
acquire multimodal data from different biological application domains. Categorized in three …

Deep neural networks represent, nowadays, the most effective machine learning technology
in biomedical domain. In this domain, the different areas of interest concern the Omics (study …

Rapid advances in hardware-based technologies during the past decades have opened up
new possibilities for life scientists to gather multimodal data in various application domains …

Cancer nanotechnologies possess immense potential as therapeutic and diagnostic
treatment modalities and have undergone significant and rapid advancement in recent …

Currently, the development of medicines for complex diseases requires the development of
combination drug therapies. It is necessary because in many cases, one drug cannot target …

Hoy en día, las redes neuronales artificiales y el deep learning, son dos de las herramientas
más poderosas del aprendizaje de máquina, que tienen por objetivo desarrollar sistemas …

Machine learning techniques have been used extensively in the medical field and the recent
trends have highlighted the significance, positive implications and the need to make …

Healthcare or medical care is completely diverse from other industries. The customers of
these industries want better services at a more effective cost. In general, the analysis of …

Bioinformatics is an interdisciplinary area that handles complex and enormous quantities of
data. Deep Learning (DL) has been widely used in bioinformatics to derive relationships …

Deep Learning (DL) and Machine Learning (ML) have proven their potential in exploring the
complex biological data. They can equally be used to develop algorithms as well as models …