AIMC Topic: Cytomegalovirus Infections
Clear Filters Showing 1 to 10 of 14 articles
Enhancing the Predictions of Cytomegalovirus Infection in Severe Ulcerative Colitis Using a Deep Learning Ensemble Model: Development and Validation Study.
JMIR medical informatics
Jul 1, 2025
BACKGROUND: Cytomegalovirus (CMV) reactivation in patients with severe ulcerative colitis (UC) leads to worse outcomes; yet, early detection remains challenging due to the reliance on time-intensive biopsy procedures.
Estimation of Ganciclovir Exposure in Adults Transplant Patients by Machine Learning.
The AAPS journal
Feb 28, 2025
INTRODUCTION: Valganciclovir, a prodrug of ganciclovir (GCV), is used to prevent cytomegalovirus infection after transplantation, with doses adjusted based on creatinine clearance (CrCL) to target GCV AUC0-24 h of 40-60 mg*h/L. This sometimes leads t...
Application of machine-learning models to predict the ganciclovir and valganciclovir exposure in children using a limited sampling strategy.
Antimicrobial agents and chemotherapy
Aug 28, 2024
Intravenous ganciclovir and oral valganciclovir display significant variability in ganciclovir pharmacokinetics, particularly in children. Therapeutic drug monitoring currently relies on the area under the concentration-time (AUC). Machine-learning (...
Viral load kinetics and the clinical consequences of cytomegalovirus in kidney transplantation.
Frontiers in immunology
Jan 31, 2024
BACKGROUND: Despite advances in clinical management, cytomegalovirus (CMV) infection remains a serious complication and an important cause of morbidity and mortality following kidney transplantation. Here, we explore the importance of viral load kine...
Applying T-classifier, binary classifiers, upon high-throughput TCR sequencing output to identify cytomegalovirus exposure history.
Scientific reports
Mar 28, 2023
With the continuous development of information technology and the running speed of computers, the development of informatization has led to the generation of increasingly more medical data. Solving unmet needs such as employing the constantly develop...
Classification Criteria for Cytomegalovirus Anterior Uveitis.
American journal of ophthalmology
Apr 9, 2021
PURPOSE: To determine classification criteria for cytomegalovirus (CMV) anterior uveitis.
A robust and interpretable end-to-end deep learning model for cytometry data.
Proceedings of the National Academy of Sciences of the United States of America
Aug 14, 2020
Cytometry technologies are essential tools for immunology research, providing high-throughput measurements of the immune cells at the single-cell level. Existing approaches in interpreting and using cytometry measurements include manual or automated ...
Identification of lead anti-human cytomegalovirus compounds targeting MAP4K4 via machine learning analysis of kinase inhibitor screening data.
PloS one
Jul 26, 2018
Chemogenomic approaches involving highly annotated compound sets and cell based high throughput screening are emerging as a means to identify novel drug targets. We have previously screened a collection of highly characterized kinase inhibitors (Khan...
Predictive factors of spontaneous CMV DNAemia clearance in kidney transplantation.
Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology
Dec 29, 2017
UNLABELLED: Cytomegalovirus (CMV) infection occurs frequently after solid organ transplantation. Therapeutic strategies, in particular when to start a curative treatment, has not yet been defined. The purpose of this study was to assess predictive fa...
Sensitive detection of rare disease-associated cell subsets via representation learning.
Nature communications
Apr 6, 2017
Rare cell populations play a pivotal role in the initiation and progression of diseases such as cancer. However, the identification of such subpopulations remains a difficult task. This work describes CellCnn, a representation learning approach to de...
T-Lymphocyte Subsets
Rare Diseases
Neural Networks, Computer
Neoplasm, Residual
Cytomegalovirus Infections
Cytokines
Immunologic Memory
Leukemia
Humans
Supervised Machine Learning
Prognosis
Monocytes
Single-Cell Analysis
Signal Transduction
Survival Analysis
Killer Cells, Natural
Acquired Immunodeficiency Syndrome
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823