Spotlight
Latest News and Publications
Busayo I Ajuwon et al. Scientific reports 2023 13(1) 3244
Vaccinomics: A scoping review.
Matthew Z Dudley et al. Vaccine 2023
Machine Learning Approaches for the Prediction of Hepatitis B and C Seropositivity.
Valeriu Harabor et al. International journal of environmental research and public health 2023 20(3)
Diagnostic Value of Serum Gamma Glutamyl Transpeptidase (GGT) for Early Diagnosis of Biliary Atresia.
Haque M A et al. Mymensingh medical journal : MMJ 2023 32(1) 193-199
Systematic review and individual-patient-data meta-analysis of non-invasive fibrosis markers for chronic hepatitis B in Africa.
Johannessen Asgeir et al. Nature communications 2023 14(1) 45
Hepatitis B virus pathogenesis relevant immunosignals uncovering amino acids utilization related risk factors guide artificial intelligence-based precision medicine.
Huang Jun et al. Frontiers in pharmacology 2022 131079566
Identifying High-Risk Comorbidities Associated with Opioid Use Patterns Using Electronic Health Record Prescription Data.
Jennings Mariela V et al. Complex psychiatry 2022 8(1-2) 47-55
Analysis of Human Leukocyte Antigen DR Alleles, Immune-Related Adverse Events, and Survival Associated With Immune Checkpoint Inhibitor Use Among Patients With Advanced Malignant Melanoma.
Akturk Halis Kaan et al. JAMA network open 2022 5(12) e2246400
Artificial intelligence models for the diagnosis and management of liver diseases.
Nishida Naoshi et al. Ultrasonography (Seoul, Korea) 2022
Development and application of survey-based artificial intelligence for clinical decision support in managing infectious diseases: A pilot study on a hospital in central Vietnam.
Kim Kwanghyun et al. Frontiers in public health 2022 101023098
Risk Association of Liver Cancer and Hepatitis B with Tree Ensemble and Lifestyle Features.
Koh Eunji et al. International journal of environmental research and public health 2022 19(22)
Meta-learning algorithm development to predict outcomes in patients with hepatitis C virus-related hepatocellular carcinoma.
Lithy Rania M et al. Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology 2022
Evaluation of machine learning algorithms for predicting direct-acting antiviral treatment failure among patients with chronic hepatitis C infection.
Park Haesuk et al. Scientific reports 2022 12(1) 18094
Pharmacogenetic Variation and Its Clinical Relevance in a Latin American Rural Population.
Olloquequi Jordi et al. International journal of molecular sciences 2022 23(19)
Machine Learning-based Prediction of HBV-related Hepatocellular Carcinoma and Detection of Key Candidate Biomarkers.
Kucukakcali Zeynep et al. Medeniyet medical journal 2022 37(3) 255-263
Predicting Incidence of Hepatitis E Using Machine Learning in Jiangsu Province, China.
Cheng Xiaoqing et al. Epidemiology and infection 2022 1-11
Mystery hepatitis cases in kids linked to unexpected viral suspect
J Kaiser, Science, May 25, 2022
Targeting non-structural proteins of Hepatitis C virus for predicting repurposed drugs using QSAR and machine learning approaches.
Kamboj Sakshi et al. Computational and structural biotechnology journal 2022 203422-3438
A Decisive Metaheuristic Attribute Selector Enabled Combined Unsupervised-Supervised Model for Chronic Disease Risk Assessment.
Mishra Sushruta et al. Computational intelligence and neuroscience 2022 20228749353
Deep Learning for Approaching Hepatocellular Carcinoma Ultrasound Screening Dilemma: Identification of α-Fetoprotein-Negative Hepatocellular Carcinoma From Focal Liver Lesion Found in High-Risk Patients.
Zhang Wei-Bin et al. Frontiers in oncology 2022 12862297
More
Content Summary
Common Type
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.