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, artificial intelligence (AI) ethics, and responsible data use in bioinformatics research.
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
