Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …

Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells
that can spread in different parts of the body. According to the World Health Organization …

The integration of artificial intelligence technologies has propelled the progress of clinical
and genomic medicine in recent years. The significant increase in computing power has …

Cancer is one of the top causes of death globally. Recently, microarray gene expression
data has been used to aid in cancer's effective and early detection. The use of DNA …

Background and objective Skin cancer is the most common malignancy in whites accounting
for about one third of all cancers diagnosed per year. Portable Raman spectroscopy setups …

AI is a broad concept, grou** initiatives that use a computer to perform tasks that would
usually require a human to complete. AI methods are well suited to predict clinical outcomes …

Background Early detection of postoperative complications, including organ failure, is pivotal
in the initiation of targeted treatment strategies aimed at attenuating organ damage. In an …

Machine learning approaches are powerful techniques commonly employed for develo**
cancer prediction models using associated gene expression and mutation data. This …

Cancer and its subtypes constitute approximately 30% of all causes of death globally and
display a wide range of heterogeneity in terms of clinical and molecular responses to …

Background Transfer learning is a form of machine learning where a pre-trained model
trained on a specific task is reused as a starting point and tailored to another task in a …