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 …
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 …
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 …
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
Abstract Machine learning offers significant potential for lung cancer detection, enabling
early diagnosis and potentially improving patient outcomes. Feature extraction remains a …
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
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 …
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
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 …
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
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 …
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 …
(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 …
volume of therapeutic alternatives characterize HIV therapy. Each patient and period has its …
[PDF][PDF] IOT-BASED SMART HEALTHCARE PERSPECTIVES
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 …
discovery and development are two of the major platforms in medical science. On the other …