SARS-CoV-2 reinfections and long COVID in the post-omicron phase of the pandemic

F Boufidou, S Medić, V Lampropoulou… - International Journal of …, 2023 - mdpi.com
We are reviewing the current state of knowledge on the virological and immunological
correlates of long COVID, focusing on recent evidence for the possible association between …

IoT-based big data secure transmission and management over cloud system: A healthcare digital twin scenario

CL Stergiou, MP Koidou, KE Psannis - Applied Sciences, 2023 - mdpi.com
The Internet of Things (IoT) was introduced as a recently developed technology in the
telecommunications field. It is a network made up of real-world objects, things, and gadgets …

Interpretable machine learning for personalized medical recommendations: A LIME-based approach

Y Wu, L Zhang, UA Bhatti, M Huang - Diagnostics, 2023 - mdpi.com
Chronic diseases are increasingly major threats to older persons, seriously affecting their
physical health and well-being. Hospitals have accumulated a wealth of health-related data …

Enhancing lung cancer detection through hybrid features and machine learning hyperparameters optimization techniques

L Li, J Yang, LY Por, MS Khan, R Hamdaoui, L Hussain… - Heliyon, 2024 - cell.com
Abstract Machine learning offers significant potential for lung cancer detection, enabling
early diagnosis and potentially improving patient outcomes. Feature extraction remains a …

Improving big data governance in healthcare institutions: user experience research for honest broker based application to access healthcare big data

K Singh, S Li, I Jahnke, ML Alarcon… - Behaviour & …, 2024 - Taylor & Francis
Data users (researchers, scientists) in healthcare institutions need access to integrated
healthcare data to conduct timely analysis of diseases to serve the right population at the …

[PDF][PDF] Improving Lungs Cancer Detection Based on Hybrid Features and Employing Machine Learning Techniques

J Yang, L Yee, AA Khan, MS Khan, H Karamti… - 2023 - assets-eu.researchsquare.com
Lung cancer detection using machine learning involves training a model on a dataset of
medical images, such as CT scans, to identify patterns and features associated with lung …

QSAR Approach for Drug Discovery Targeting the Glucagon Receptor Using Machine Learning

V Sharma, O Sarkar, S Mishra… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Metabolic disorders like type 2 diabetes are increasing day by day so the study focusing
drug discovery of glucagon receptor has become important. One of the method to study the …

Trends and Advancements of AI and XAI in Drug Discovery

T Chandak, J Jayashree… - Explainable AI (XAI) for …, 2024 - taylorfrancis.com
The rapid advancements in Artificial Intelligence (AI) and Explainable Artificial Intelligence
(XAI) have brought about significant changes in the field of drug discovery. This abstract …

[PDF][PDF] Targets for Anti-HIV-1 Agents as Personalized HIV Therapy: A Review Study

M Jafari, A Shamipak, F Shahsavari… - Personalized Medicine …, 2023 - pmjournal.ir
The enormous genetic variety of the viral population harbored by the patient and the large
volume of therapeutic alternatives characterize HIV therapy. Each patient and period has its …

[PDF][PDF] IOT-BASED SMART HEALTHCARE PERSPECTIVES

FAM Raeid, MI Jabiullah, MT Islam - 2023 - researchgate.net
Currently, internet of things (IoT)-based technologies are used in many areas. Drug
discovery and development are two of the major platforms in medical science. On the other …