Cancer prediction in the early stage is a topic of major interest in medicine since it allows
accurate and efficient actions for successful medical treatments of cancer. Mostly cancer …

This study addresses the critical challenge of accurately classifying brain tumors using
artificial intelligence. Early detection is crucial, as untreated tumors can be fatal. Despite …

Gene expression datasets offer a wide range of information about various biological
processes. However, it is difficult to find the important genes among the high-dimensional …

In the dynamic landscape of targeted therapeutics, drug discovery has pivoted towards
understanding underlying disease mechanisms, placing a strong emphasis on molecular …

Prostate cancer (PRC) is the major reason of mortality globally. Early recognition and
classification of PRC become essential to enhance the quality of healthcare services. A …

Simple Summary The pathologic diagnosis of primary and secondary liver cancers can often
be difficult. Artificial intelligence (AI) presents potential solutions to these difficulties by aiding …

ABSTRACT Aim/Purpose This review paper aims to unveil some underlying machine-
learning classification algorithms used for political election predictions and how stack …

Cancer is one of the leading causes of death across the globe. There is a need for early
diagnosis to improve the chance of successful treatment and reduce the mortality associated …

This paper presents a novel strategy for gene selection in cancer classification by integrating
the Northern Goshawk Algorithm (NGHA) with microarray datasets. The primary objective is …

Artificial intelligence (AI) has emerged as a promising tool in oral oncology, particularly in
the field of prediction. This review provides a comprehensive outlook on the role of AI in …