A review of multi-omics data integration through deep learning approaches for disease diagnosis, prognosis, and treatment

JS Wekesa, M Kimwele - Frontiers in Genetics, 2023 - frontiersin.org
Accurate diagnosis is the key to providing prompt and explicit treatment and disease
management. The recognized biological method for the molecular diagnosis of infectious …

Current trends in AI and ML for cybersecurity: A state-of-the-art survey

N Mohamed - Cogent Engineering, 2023 - Taylor & Francis
This paper provides a comprehensive survey of the state-of-the-art use of Artificial
Intelligence (AI) and Machine Learning (ML) in the field of cybersecurity. The paper …

Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow

A Lakhan, MA Mohammed, KH Abdulkareem… - Internet of Things, 2023 - Elsevier
In today's digital healthcare landscape, numerous clinical institutions collaborate to enhance
healthcare quality in a ubiquitous fog and cloud environment. Data fusion plays a vital role in …

Framework for a secure and sustainable Internet of Medical Things, requirements, design challenges, and future trends

W Villegas-Ch, J García-Ortiz, I Urbina-Camacho - Applied Sciences, 2023 - mdpi.com
The framework presented in this article provides a guide for designing secure and
sustainable internet of medical things (IoMT) solutions. The main objective is to address the …

Exploring Research challenges of Blockchain and supporting Technology with potential solution in Healthcare

S Garg, R Kumar Kaushal, N Kumar… - … Journal of Computing …, 2024 - journal.uob.edu.bh
The healthcare industry is currently experiencing a digital revolution driven by developments
in information technology. This transformation is geared to improve health care, diagnosis …

Towards enhancing security of IoT-Enabled healthcare system

RR Irshad, SS Sohail, S Hussain, DØ Madsen… - Heliyon, 2023 - cell.com
Abstract The Internet-of-Things (IoT)-based healthcare systems are comprised of a large
number of networked medical devices, wearables, and sensors that collect and transmit data …

Cross vision transformer with enhanced Growth Optimizer for breast cancer detection in IoMT environment

M Abd Elaziz, A Dahou, AO Aseeri, AA Ewees… - … Biology and Chemistry, 2024 - Elsevier
The recent advances in artificial intelligence modern approaches can play vital roles in the
Internet of Medical Things (IoMT). Automatic diagnosis is one of the most important topics in …

Securing Fog Computing Through Consortium Blockchain Integration: The Proof of Enhanced Concept (PoEC) Approach

MA Almaiah, T Alkdour - … in Multimedia Data Processing and Security …, 2023 - igi-global.com
The authors have developed an innovative topology by amalgamating consortium
blockchain, often referred to as supervisory blockchain, with fog computing. The proposed …

A novel artificial intelligence approach to detect the breast cancer using KNNet technique with EPM gene profiling

S Joshi, NVS Natteshan, R Rastogi… - Functional & Integrative …, 2023 - Springer
Women's most frequent type of cancer is breast cancer, second only to lung cancer. This
paper summarizes changes in genomics and epigenetics and incremental biological …

PLA—A Privacy-Embedded Lightweight and Efficient Automated Breast Cancer Accurate Diagnosis Framework for the Internet of Medical Things

C Yan, X Zeng, R Xi, A Ahmed, M Hou, MH Tunio - Electronics, 2023 - mdpi.com
The Internet of Medical Things (IoMT) can automate breast tumor detection and classification
with the potential of artificial intelligence. However, the leakage of sensitive data can cause …