In today's scenario deep learning is the primarily used technique in Computer‐Aided
Diagnosis (CAD) for prediction of diseases. Deep learning has empowered the evolution of …

The increasing advancements and improvements in medicine and healthcare in the past few
decades have ushered us into a data-driven era where a huge amount of data is collected …

Computational medicine has emerged as an outcome of the advancement of medical
science and the scientific field's ushering in of the big data era, which is supported by and …

Advances in biological and medical technologies have been providing us explosive
volumes of biological and physiological data, such as medical images …

New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

With the technological advancement in both biological as well as medical fields, it has
provided us with explosive volumes of data: health metaphors, EEG, protein sequences and …

With the popularity of artificial intelligence (AI) and its integration into every field, it has
yielded positive results that have increased productivity and aided us in solving complex …

Deep learning, a subfield of artificial intelligence, has shown exponential growth in health
care applications. With the improvement of computational power and advances in big data …

The size of the medical information system is growing gradually. Due to this, traditional data
analysis for extracting helpful information for any disease has become inefficient in providing …

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 …