Allergy at IgMin Research | Medicine Group
Our purpose is to support the convergence of fields for a faster dissemination of knowledge.
About
Allergy is a dynamic and multidisciplinary field that explores the body's hypersensitive immune responses to various substances, known as allergens. These responses can range from mild discomfort to life-threatening reactions. The study of allergies integrates insights from immunology, molecular biology, and clinical medicine to understand the mechanisms that trigger allergic reactions, such as food allergies, drug allergies, and respiratory allergies. Researchers in this area aim to uncover the underlying causes of allergic disorders and develop innovative approaches for diagnosis, prevention, and treatment.
In the broader context of human health, Allergy research addresses the impact of environmental factors, genetic predisposition, and immune system dysregulation on allergic diseases. This field is essential for developing novel therapies, improving diagnostic techniques, and enhancing the quality of life for those affected by allergies. By fostering a deeper understanding of how the immune system interacts with allergens, researchers are paving the way for breakthroughs in allergy management and treatment.
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
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- Prevalence of Non-specific Low Back Pain Among Chinese Healthcare Workers (Surgeons and Surgical Nurses): A Multi-Center Survey Study
- Soil Water Vegetation Carrying Capacity and Quality Agricultural Produce
- Investigation of Lateral Vibrations in Turbine-generator Unit 5 of the Inga 2 Hydroelectric Power Plant
- Knowledge Discovery on Artificial Intelligence and Physical Therapy: Document Mining Analysis
- Analytical Expressions of the Markov Chain of K-Ras4B Protein within the Catalytic Environment and a New Markov-State Model
