The last 10 years have witnessed the growth of artificial intelligence into different research
areas, emerging as a vibrant discipline with the capacity to process large amounts of …

Machine learning is a branch of computer science and statistics that generates predictive or
descriptive models by learning from training data rather than by being rigidly programmed. It …

The purpose of this literature review is to provide a fundamental synopsis of current research
pertaining to artificial intelligence (AI) within the domain of clinical practice. Artificial …

Precision oncology aims to tailor clinical decisions specifically to patients with the objective
of improving treatment outcomes. This can be achieved by leveraging omics information for …

B-cell maturation antigen (BCMA) has emerged as a promising tumor marker for the
diagnosis and treatment of multiple myeloma. The noninvasive and rapid detection of BCMA …

Liquid biopsies—a source of circulating cell-free nucleic acids, proteins and extracellular
vesicles—are currently being explored for the quantitative and qualitative characterisation of …

Abstract Purpose of Review Artificial intelligence (AI), and in particular its subcategory
machine learning, is finding an increasing number of applications in medicine, driven in …

The high infectivity of SARS-CoV-2 makes it essential to develop a rapid and accurate
diagnostic test so that carriers can be isolated at an early stage. Viral RNA in …

Vector control programmes are a strategic priority in the fight against malaria. However,
vector control interventions require rigorous monitoring. Entomological tools for …

Monoclonal gammopathies are a group of blood diseases characterized by presence of
abnormal immunoglobulins in peripheral blood and/or urine of patients. Multiple myeloma …