Diabetes at IgMin Research | Medicine Group
Our commitment is to bridge knowledge gaps across disciplines and propel the advancement of scientific thought.
About
Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels resulting from impaired insulin production or function. This condition poses significant global health challenges, impacting millions of individuals and contributing to complications such as cardiovascular disease, neuropathy, and kidney failure. Researchers in the field of Diabetes focus on understanding the underlying genetic, molecular, and lifestyle factors that contribute to its development, with the goal of improving prevention, diagnosis, and treatment strategies.
The study of Diabetes integrates insights from endocrinology, molecular biology, and clinical medicine to address both Type 1 and Type 2 diabetes, as well as gestational diabetes. By exploring areas such as insulin resistance, glucose metabolism, and the role of the microbiome, researchers aim to develop innovative therapies and personalized interventions. Advances in diabetes research are crucial for reducing the burden of this disease, enhancing patient outcomes, and promoting long-term health and quality of life.
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- From Traditionalism to Algorithms: Embracing Artificial Intelligence for Effective University Teaching and Learning
- DNA Genetics and UHPLC-Q-TOF-MS Analysis of Phytochemicals for Asparagus racemosus Roots
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
- Unveiling the Hidden Beat: Heart Rate Variability and the Vagus Nerve as an Emerging Biomarker in Breast Cancer Management
- Assessing Bee (Hymenoptera, Apoidea, Anthophila) Diversity and Floral Preference in Two Habitats in the Iberian Peninsula
- Improved Energy Valley Optimizer with Levy Flight for Optimization Problems
