Anxiety at IgMin Research | Medicine Group
We seek to support partnerships that amplify research output and expedite advancements.
About
Anxiety is a complex and multifaceted mental health condition that encompasses a range of psychological and physiological responses to perceived threats. It is one of the most prevalent mental health issues, affecting millions of people globally and significantly impacting their quality of life. The study of anxiety integrates insights from neuroscience, psychology, and genetics to understand the underlying mechanisms of anxiety disorders, such as generalized anxiety disorder, panic disorder, and social anxiety. Researchers in this field aim to explore the neurobiological pathways, environmental triggers, and cognitive processes that contribute to anxiety, paving the way for more effective therapies.
Anxiety research is crucial for developing better diagnostic tools, preventive measures, and treatment strategies, as anxiety disorders often co-exist with other conditions like depression and stress-related disorders. By leveraging multidisciplinary approaches, researchers are discovering novel therapeutic interventions, including pharmacological treatments, cognitive-behavioral therapies, and lifestyle modifications. The field of anxiety research is rapidly evolving, with an emphasis on personalized treatment plans and holistic approaches to improve patient outcomes.
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
- Challenge and Readiness to Implemented Geothermal Energy in Indonesia
- A Machine Learning-based Method for COVID-19 and Pneumonia Detection
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- Biomimetic Synthesis of Calcium Carbonate in Bile in the presence of Amino Acids
- A Study to Determine the Reason for Lower Pregnancy Rates in Younger Women with Diminished Oocyte Reserve-less Chance of Implanting vs. Fetal Demise
- Kinetic Study of the Removal of Reafix Yellow B8G Dye by Boiler Ash
