Monkeypox: A comprehensive review on mutation, transmission, pathophysiology, and therapeutics

S Dutta, R Ghosh, I Dasgupta, P Sikdar, P Santra… - International …, 2025 - Elsevier
Monkeypox virus (MPXV) is the causative agent of the monkeypox (Mpox) disease, belongs
to the Orthopoxvirus genus of the Poxviridae family. Due to the recent re-emergence of Mpox …

A Recent Survey of the Advancements in Deep Learning Techniques for Monkeypox Disease Detection

SH Khan, R Iqbal, S Naz - arxiv preprint arxiv:2311.10754, 2023 - arxiv.org
Monkeypox is a zoonotic infectious disease induced by the Monkeypox virus, part of the
poxviridae orthopoxvirus group initially discovered in Africa and gained global attention in …

[HTML][HTML] Secure and transparent lung and colon cancer classification using blockchain and microsoft azure

EHI Eliwa, AM El Koshiry… - Advances in …, 2024 - pmc.ncbi.nlm.nih.gov
Highlights The study presents a novel framework for remote consultation and lung and colon
cancer classification, leveraging blockchain technology and Microsoft Azure cloud services …

Monkeypox Skin Lesion Classification Using Fine-Tune CNN Model

D Jagani, S Degadwala - 2024 4th International Conference on …, 2024 - ieeexplore.ieee.org
A novel method for categorizing Monkeypox skin lesions is presented in this research work
utilizing a finely adjusted Convolutional Neural Network (CNN) model. Monkeypox, a rare …

Efficient lung cancer detection using computational intelligence and ensemble learning

R Jain, P Singh, M Abdelkader, W Boulila - Plos one, 2024 - journals.plos.org
Lung cancer emerges as a major factor in cancer-related fatalities in the current generation,
and it is predicted to continue having a long-term impact. Detecting symptoms early …

Exploring the diagnostic performance of machine learning in prediction of metabolic phenotypes focusing on thyroid function

HJ Ahn, K Ishikawa, MH Kim - Plos one, 2024 - journals.plos.org
In this study, we employed various machine learning models to predict metabolic
phenotypes, focusing on thyroid function, using a dataset from the National Health and …

Enhancing heart attack prediction with machine learning: A study at jordan university hospital

M Alshraideh, N Alshraideh… - … Intelligence and Soft …, 2024 - Wiley Online Library
Efforts have been made to address the adverse impact of heart disease on society by
improving its treatment and diagnosis. This study uses the Jordan University Hospital (JUH) …

Optimization of diabetes prediction methods based on combinatorial balancing algorithm

HZ Shao, X Liu, DS Zong, QJ Song - Nutrition & Diabetes, 2024 - nature.com
Background Diabetes, as a significant disease affecting public health, requires early
detection for effective management and intervention. However, imbalanced datasets pose a …

[HTML][HTML] Modeling and analysis of monkeypox outbreak using a new time series ensemble technique

WM Cuba, JC Huaman Alfaro, H Iftikhar… - Axioms, 2024 - mdpi.com
The coronavirus pandemic has raised concerns about the emergence of other viral
infections, such as monkeypox, which has become a significant hazard to public health …

piscesCSM: prediction of anticancer synergistic drug combinations

R AlJarf, CHM Rodrigues, Y Myung, DEV Pires… - Journal of …, 2024 - Springer
While drug combination therapies are of great importance, particularly in cancer treatment,
identifying novel synergistic drug combinations has been a challenging venture …