Diabetes at IgMin Research | Medicine Group
We aim to facilitate the cross-pollination of ideas across disciplines to boost scientific progress.
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
- The Lukala Cement Plant's Life Cycle Analysis: Towards a More Sustainable Production
- Lifestyle and Well-being among Portuguese Firefighters
- Synergistic Assessment of Supplementation of Ascorbic Acid and Massularia acuminata Extracts on Serum Electrolyte and Lipid Profile Indices of Dyslipidemia in Adult Wistar Rats Exposed to Aluminum Chloride Toxicity
- Solar Energy Resource Potentials of the City of Arkadag
- The Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
- Melanocytic Nevi Classification using Transfer Learning
