Journal of Bioinformatics And Diabetes

Aims and Scope

Journal of Bioinformatics and Diabetes (JBD) is an open access, peer-reviewed journal dedicated to advancing the intersection of bioinformatics and diabetes research. JBD provides a dynamic platform for scientists, clinicians, and computational researchers to explore cutting-edge developments that enhance our understanding, diagnosis, treatment, and management of diabetes and its related complications.  
 

Scope of the Journal:

• Genetic epidemiology & systems biology - Unraveling the genetic and molecular basis of diabetes.  
• Omics-driven insights - Leveraging metabolomics, proteomics, and genomics for precision medicine.  
• Big data & machine learning applications - Enhancing diabetes, prediction models, and treatment optimization.  
• Computational tools & algorithms - Developing new data-driven approaches for diabetes care.  
• Nutritional bioinformatics & metabolism - Understanding the role of diet, microbiome, and metabolic pathways.  
• Ethical considerations - Addressing privacy, AI ethics, and responsible data use in bioinformatics research.  

JBD welcome submissions that explore the intersection of artificial intelligence and bioinformatics in the context of diabetes, including but not limited to AI applications in disease prediction, treatment optimization, and personalized medicine. Contributions from the following research areas are invited but not limited to the following branches 

• Cystic fibrosis
• Diabetes
• Diabetic neuropathy
• Hypertension
• Hypoglycemia
• Osteoporosis
• Pharmacy
• Type 1 diabetes
• Gestational diabetes
• Endocrine system
• Glucose
• Ontology
• Insulin resistance
• Oncology
• Epidemiology
• Metabolism
• Hyperglycemia
• Circulatory system
• Ophthalmology
• Otolaryngology
• Insulin
• Diabetes mellitus
• Cardiovascular disease
• Diabetes insipidus
• Ketosis
• Diabetic ketoacidosis
• Hemoglobin a1c
• Inflammation
• Ketoacidosis
• Endocrinology
• Obesity
• Sedentary lifestyle
• Gastroenterology
• Hematology
• Orthopedics
• Genetics
• Diabetic retinopathy
• Pathophysiology
• Peripheral vascular disease
• Bioinformatics
• Glomerular filtration rate
• Pulmonology
• Retinopathy
• Immunology
• Continuous glucose monitoring
• Chronic pancreatitis
• Pathogenesis
• Gene expression
• Molecular biology
• Coronary heart disease
• Biostatistics