Volume 1, Issue 1, January 2, 2023
- Epidemiological and clinical characteristics of COVID-19 in the Middle Euphrates region, Iraq A retrospective study
- The Impact of COVID-19 on Cardiovascular Health Insights from Hematological Changes, Allergy Prevalence, and Predictive Modeling
- Interconnections of Health Domains A Meta-analysis of Diverse Research Studies
- Unraveling the Enigma Hematological of Metamorphosis in COVID-19 Patients – A Pioneering Longitudinal Study
- The Association Between Sickle Cell Trait and Severity of COVID-19 Infection A Case-Control Study in Iraq
- Prevalence and Associated Factors of Human Papillomavirus Infection among Iraqi Women
- Long-term Neurological Sequelae in Post-COVID-19 Patients A Machine Learning Approach to Predict Outcomes
Volume 1, Issue 2, July 2, 2023
- Post-COVID-19 Effects on Female Fertility An In-Depth Scientific Investigation
- Decoding Microbial Enigmas Unleashing the Power of Artificial Intelligence in Analyzing Antibiotic-Resistant Pathogens and their Impact on Human Health
- Integrative AI-Driven Strategies for Advancing Precision Medicine in Infectious Diseases and Beyond A Novel Multidisciplinary Approach
- Advancements in Medical Research in Iraq A Comprehensive Review of Emerging Insights
- Characterizing Pulmonary Fibrosis Patterns in Post-COVID-19 Patients through Machine Learning Algorithms
Volume 1, Issue 3, August 1, 2023
- Artificial Intelligence-Enhanced Contact Tracing Optimizing Pandemic Response
- Automated Detection of Persistent Inflammatory Biomarkers in Post-COVID-19 Patients Using Machine Learning Techniques
- Early Detection of Post-COVID-19 Fatigue Syndrome Using Deep Learning Models
- Genomic Analysis and Artificial Intelligence Predicting Viral Mutations and Future Pandemics
- Harnessing Artificial Intelligence for Early Warning Systems in Predicting Emerging Infectious Diseases
- Cognizance of Post-COVID-19 Multi-Organ Dysfunction through Machine Learning Analysis
- Identifying Risk Factors for Post-COVID-19 Mental Health Disorders A Machine Learning Perspective
- Machine Learning-driven Analysis of Gastrointestinal Symptoms in Post-COVID-19 Patients
- Predicting Cardiovascular Complications in Post-COVID-19 Patients using Data-driven Machine Learning Models
- Predicting Long-term Renal Impairment in Post-COVID-19 Patients with Machine Learning Algorithms
- Unraveling Post-COVID-19 Immune Dysregulation Using Machine Learning-based Immunophenotyping
Volume 1, Issue 4, October 1, 2023