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Abstract

Jirakrit Leelarungrayub Author at IgMin Research

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Biography

Jirakrit Leelarungrayub is a distinguished academic and researcher affiliated with Chiang Mai University, Thailand. He currently contributes as an author at IgMin Research, where his work spans across multiple scientific disciplines with a strong emphasis on biomedical and health sciences. His research focuses on the physiological and biochemical effects of physical activity, alternative medicine, and antioxidant therapies.

Dr. Leelarungrayub has established himself as a respected figure in the Thai academic community through his dedicated efforts in advancing research that bridges traditional knowledge with modern scientific approaches. His work often explores how natural compounds and physical therapies influence biomarkers, stress responses, and overall human health. This has positioned him as a leading voice in studies related to oxidative stress, inflammation, and physical rehabilitation.

At Chiang Mai University, Dr. Leelarungrayub has played an essential role in mentoring students, conducting field-based studies, and publishing peer-reviewed articles that contribute to Thailand’s growing prominence in scientific research. His collaborations with local and international institutions underscore his commitment to interdisciplinary knowledge sharing and innovation in healthcare solutions.

Driven by a passion for holistic wellness and scientific integrity, Jirakrit continues to influence both academic and practical domains. Through his work with IgMin Research, he remains at the forefront of efforts to translate complex biomedical research into meaningful outcomes that can benefit public health, especially in the Southeast Asian context. His contributions reflect a deep commitment to academic excellence and a vision for improving health through evidence-based approaches.

Research Interest

Jirakrit Leelarungrayub’s research interests center on the intersections of physiology, biochemistry, and integrative health. He is particularly focused on oxidative stress, inflammation, and the therapeutic effects of exercise and alternative medicine. His work investigates how physical activity, traditional Thai therapies, and natural antioxidants influence biochemical markers and human health, especially in relation to stress reduction, immune function, and chronic disease prevention.

Dr. Leelarungrayub is also deeply interested in the application of non-invasive techniques to assess physiological responses, including heart rate variability, salivary biomarkers, and muscle performance. His interdisciplinary approach combines modern scientific tools with traditional health practices, aiming to bridge the gap between evidence-based medicine and holistic care. Through both laboratory and clinical research, he seeks to develop accessible and sustainable health interventions that are culturally relevant and scientifically validated, particularly for populations in Southeast Asia.

General Science Group (1)

Research Article Article ID: igmin270
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Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.

Knowledge Discovery on Artificial Intelligence and Physical Therapy: Document Mining Analysis
by Jirakrit Leelarungrayub, Araya Yankai and Supattanawaree Thipcharoen

Artificial intelligence (AI) is the simulation of human intelligence and benchmarks in Physical Therapy (PT). Therefore, the updated knowledge derived from large databases is highly engaging. Data Mining (DM) analysis from a big database related to “AI” and “PT” was the aim for the co-occurrence of words, network clusters, and trends under the Knowledge Discovery in Databases (KDD). The terms “AI” and “PT” were cited from a big database in the SCOPUS. The co-occurrence, network clustering, and tre...nd were computer-analyzed with a Bibliometric tool. Between 1993 and 2024, 174 documents were published, revealing the most frequently used terms related to AI, human, PT, physical modalities, machine learning, physical treatment, deep learning, patient rehabilitation, robotics, virtual reality, algorithms, telerehabilitation, ergonomics, exercise, quality of life, and other related topics. Five network clusters were discovered as; (1) AI, decision support systems, health care, human-computer interaction, intelligent robots, learning algorithms, neuromuscular, stroke, and patient rehabilitation, PT, robotics, etc., respectively, (2) aged, algorithms, biomechanics, exercise, exercise therapy, female, humans, machine learning, middle-aged, PT modalities, rehabilitation, treatment outcome, deep learning, etc., (3) deep learning, diagnosis, and quality of life, (4) review and systematic review, and (5) clinical practice. From 2008 to 2024, a trend emerged in the fields of algorithms, computer-assisted diagnosis, treatment planning, classification, equipment design, signal processing, AI, exercise, physical and patient rehabilitation, robotics, virtual reality, machine learning, deep learning, clinical practice, etc. Discovered knowledge of AI with PT related to different machine learning for use in clinical practice.

Physical Therapy
Jirakrit Leelarungrayub

Author

Work Details

 Chiang Mai University

 Thailand

ORCID 0000-0001-8468-1533

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