Pulmonology at IgMin Research | Medicine Group
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About
Pulmonology is the specialized medical field focused on the study, diagnosis, and treatment of diseases related to the respiratory system. Pulmonologists are experts in understanding the complex structure and function of the lungs and airways. Their expertise spans from diagnosing common respiratory conditions to managing complex diseases such as chronic obstructive pulmonary disease (COPD), asthma, and lung cancer.
The study of pulmonology involves an in-depth knowledge of lung anatomy, physiology, and the factors that impact respiratory health. Pulmonologists utilize advanced diagnostic tools, imaging techniques, and pulmonary function tests to assess lung health and identify respiratory disorders. By providing personalized treatment plans and interventions, pulmonology plays a crucial role in improving patients' lung function and overall 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 Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
- Semiclassical Potential Function of B–B Interaction: Reduction to Integrable Form
- Analytical Expressions of the Markov Chain of K-Ras4B Protein within the Catalytic Environment and a New Markov-State Model
- LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation
- The Lukala Cement Plant's Life Cycle Analysis: Towards a More Sustainable Production
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
