A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence

S Pandiyan, L Wang - Computers in Biology and Medicine, 2022 - Elsevier
Through the revolutionization of artificial intelligence (AI) technologies in clinical research,
significant improvement is observed in diagnosis of cancer. Utilization of these AI …

[HTML][HTML] Determining factors related to artificial intelligence (AI) adoption among Malaysia's small and medium-sized businesses

S Lada, B Chekima, MRA Karim, NF Fabeil… - Journal of Open …, 2023 - Elsevier
The purpose of the study is to examine the relationship between Competitive Pressure (CP),
Top Management Commitment (TMC), Employee Adaptability (EA), External Support (ES) …

A comparative analysis of classical machine learning and deep learning techniques for predicting lung cancer survivability

S Huang, I Arpaci, M Al-Emran, S Kılıçarslan… - Multimedia Tools and …, 2023 - Springer
Lung cancer, one of the deadliest forms of cancer, can significantly improve patient survival
rates by 60–70% if detected in its early stages. The prediction of lung cancer patient survival …

Machine learning first response to COVID-19: A systematic literature review of clinical decision assistance approaches during pandemic years from 2020 to 2022

G Badiola-Zabala, JM Lopez-Guede, J Estevez… - Electronics, 2024 - mdpi.com
Background: The declaration of the COVID-19 pandemic triggered global efforts to control
and manage the virus impact. Scientists and researchers have been strongly involved in …

Minería de datos aplicada a la detección de cáncer gástrico

OD Castrillón, LF Castillo, CE Castaño - Información tecnológica, 2022 - SciELO Chile
En este estudio se busca determinar las variables que influyen en la aparición de neoplasia
e identificar oportunamente la población susceptible a desarrollar cáncer gástrico. Se utiliza …

Contribution of artificial intelligence and big data in a medical biology laboratory: An experience of the central laboratory CHU Mohammed VI Oujda

A Yahyaoui, H Zrouri, O Hamdani, W Azizi… - Materials Today …, 2023 - Elsevier
The practice of medicine and medical biology is being revolutionized by the development of
artificial intelligence (AI) and Big Data analysis in this field, with their ability to process large …

A self-predictive diagnosis system of liver failure based on multilayer neural networks

F Dashti, A Ghaffari, A Seyfollahi, B Arasteh - Multimedia Tools and …, 2024 - Springer
The lack of symptoms in the early stages of liver disease may cause wrong diagnosis of the
disease by many doctors and endanger the health of patients. Therefore, earlier and more …

Enhancing COVID-19 diagnosis from lung CT scans using optimized quantum-inspired complex convolutional neural network with ResNeXt-50

R Saranya, R Jaichandran - Biomedical Signal Processing and Control, 2024 - Elsevier
This manuscript presents the Quantum-inspired Complex Convolutional Neural Networks
(QICCNN) method for COVID-19 diagnosis using lung CT scan images. The QICCNN …

[PDF][PDF] Detection of lung cancer with enhanced feed forward backpropagation artificial neural networks

V Çetin, HH Yumrukaya, Ç Bakır - Proceedings of the International …, 2023 - ieomsociety.org
Although cancer is a broad term, it is an important problem that causes a high rate of death.
It indicates disease that occurs when cellular changes cause cells to grow and divide …

Development of an ontology-based solution to reduce the spread of viruses

D Saba, A Hadidi, O Cheikhrouhou, M Hamdi… - Applied Sciences, 2022 - mdpi.com
With the sudden emergence of many dangerous viruses in recent years and with their rapid
transmission and danger to individuals, most countries have adopted several strategies …