Simple Summary Chronic myeloid leukemia (CML) is a myeloproliferative neoplasia
associated with a molecular alteration, the fusion gene BCR-ABL1, that encodes the tyrosine …

Background Machine learning (ML) and deep learning (DL) methods have recently
garnered a great deal of attention in the field of cancer research by making a noticeable …

As the need for quickly exploring a textile manufacturing process is increasingly costly along
with the complexity in the process. The development of manufacturing process modeling has …

Background Tremendous opportunities for health research have been unlocked by the
recent expansion of big data and artificial intelligence. However, this is an emergent area …

Background Intelligent decision support systems (IDSS) have been applied to tasks of
disease management. Deep neural networks (DNNs) are artificial intelligent techniques to …

Abstract Introduction Acute Lymphoblastic Leukemia (ALL) is the most common cancer
among children. With the advancements of science and technology, the mortality rate of ALL …

Abstract NF-E2-related factor 2 (Nrf2) transcription factor has contradictory roles in cancer,
which can act as a tumor suppressor or a proto-oncogene in different cell conditions …

The main purpose of this paper is to provide a solution, through which one can efficiently
reduce the population of cancer cells by injecting the lowest dose of the drug; therefore …

Objetivo: O objetivo geral deste trabalho foi analisar a literatura atual sobre os Sistemas de
Apoio à Decisão Médica (SADM). O objetivo específico foi averiguar o uso dos sistemas de …

Background A novel data‐driven Boolean model, namely, the fundamental Boolean model
(FBM), has been proposed to draw genetic regulatory insights into gene activation …