Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …

The emergence of large-scale human genome projects, advances in DNA sequencing
technologies, and the massive volume of electronic medical records [EMR] shift the …

Deep learning has emerged as a powerful tool for medical image analysis and diagnosis,
demonstrating high performance on tasks such as cancer detection. This literature review …

The Transformer network is the main application area for natural language processing. It has
gained traction lately and exhibits potential in the field of computer vision. This cutting-edge …

Background There is an increasing interest in the use of Deep Learning (DL) based
methods as a supporting analytical framework in oncology. However, most direct …

Tuberculosis (TB) is an airborne disease with a high fatality rate that often affects people's
lungs. Early detection of the disease can guarantee a cure, but that is not the case due to the …

The response rate of cancer immune checkpoint inhibitors (ICI) varies among patients,
making it challenging to pre-determine whether a particular patient will respond to …

Immuno-oncology involves the study of approaches which harness the patient's immune
system to fight malignancies. Immuno-oncology, as with every other biomedical and clinical …

The objective of this article is to develop a deep learning model to construct a
comprehensive, machine-learnable representation of human performance that spans visual …