AI-assisted detection of biomarkers by sensors and biosensors for early diagnosis and monitoring

T Wasilewski, W Kamysz, J Gębicki - Biosensors, 2024 - pmc.ncbi.nlm.nih.gov
The steady progress in consumer electronics, together with improvement in microflow
techniques, nanotechnology, and data processing, has led to implementation of cost …

Golden Threads of Lipid Nanoparticles (LNPs) contributing to COVID-19 mRNA Vaccine: A Review

M Vasu, P Yadav, Y Satyanarayana, J Ahlawat… - BioNanoScience, 2024 - Springer
Lipid-based RNA delivery techniques, particularly lipid nanoparticles (LNPs), have
generated significant scientific interest, primarily because of their distinct attributes including …

[HTML][HTML] AI-assisted Screening and Prevention Programs for Diseases

M Farrokhi, A Moeini, F Taheri, M Farrokhi… - Kindle, 2023 - preferpub.org
AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

Cell-free nuclear and mitochondrial DNA as potential biomarkers for assessing sepsis severity

FS de Miranda, LMAM Claudio, DSM de Almeida… - Biomedicines, 2024 - mdpi.com
Sepsis continues to be a significant public health challenge despite advances in
understanding its pathophysiology and management strategies. Therefore, this study …

[HTML][HTML] Vaccine Strategies Against RNA Viruses: Current Advances and Future Directions

KC Hsiung, HJ Chiang, S Reinig, SR Shih - Vaccines, 2024 - mdpi.com
The development of vaccines against RNA viruses has undergone a rapid evolution in
recent years, particularly driven by the COVID-19 pandemic. This review examines the key …

[HTML][HTML] Artificial intelligence-clinical decision support system for enhanced infectious disease management: Accelerating ceftazidime-avibactam resistance detection …

TH Lin, HY Chung, MJ Jian, CK Chang, HH Lin… - Journal of Infection and …, 2024 - Elsevier
Background Effective and rapid diagnostic strategies are required to manage antibiotic
resistance in Klebsiella pneumonia (KP). This study aimed to design an artificial intelligence …

Role of artificial intelligence in early diagnosis and treatment of infectious diseases

V Srivastava, R Kumar, MY Wani, K Robinson… - Infectious …, 2025 - Taylor & Francis
Infectious diseases remain a global health challenge, necessitating innovative approaches
for their early diagnosis and effective treatment. Artificial Intelligence (AI) has emerged as a …

Optimizing Antibiotic Use in Older Adults Through Digital Health Initiatives

M Bear, T Aungst, J Herren, S Mosaffa, S Liu… - Current Infectious …, 2025 - Springer
Further research is needed to validate and optimize these technologies for this population.
Risks such as antibiotic overprescribing due to virtual diagnostic limitations need additional …

[HTML][HTML] Enhancing public health outcomes with AI-powered clinical surveillance: Precise detection of COVID-19 variants using qPCR and nanopore sequencing

HY Chung, MJ Jian, CK Chang, CL Perng… - Journal of Infection and …, 2025 - Elsevier
Background We aimed to evaluate the efficacy of integrating the Varia5 multiplex assay
(qPCR) and whole genome sequencing (WGS) for monitoring SARS-CoV-2, focusing on …

[PDF][PDF] Effectiveness of Machine Learning algorithms in predicting Monkey Pox (Mpox): A Systematic Literature Review

B Ncube, M Dzikiti, A Nyoni, M Ncube… - Proceedings of the …, 2024 - researchgate.net
The re-surfacing of Monkeypox (Mpox) a zoonotic viral disease that causes painful blisters
on the skin of the infected, as a global health concern has triggered the rapid and important …