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Research and Reviews : A Journal of Medical Science and Technology

rrjomst | E-ISSN: 2319-3417 | Peer-Reviewed | Hybrid Open Access

About the Journal

Research and Reviews : A Journal of Medical Science and Technology [2319-3417(e)] is a peer-reviewed hybrid open access journal launched in 2012 and focused on the publication of current research work carried out under Medical Science and Technology. This journal covers all major fields of applications and advances in basic, translational, and clinical research in Medical Science and Technology. RRJoMST is now an open platform to publish articles in open access special issues.

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Research & Reviews : Journal of Medical Science and Technology (RRJOMST): 2319-3417(e) is a peer-reviewed hybrid open access journal launched in 2012 and focused on the publication of

Journal Information

Title:
Research & Reviews : Journal of Medical Science and Technology
Abbreviation:
RRJOMST
Issues Per Year:
3 Issues (Jan-April,May-August,Sept-Dec)
P-ISSN:
2319-3417
Publisher:
116314
DOI:
10.37591/RRJoMST
Starting Year:
2012
Subject:
Language:
English
Publication Format:
Hybrid Open Access
Copyright Policy:
CC BY-NC-ND
Type:
Peer-reviewed Journal (Refereed Journal)
Address:

Editorial Board

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rrjomst maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Karthikeyan T, Professor

Gurugram University (A Govt University), Haryana, India, 122003

Email :

Latest Articles

Development Of Ai-Driven Systems for Real-Time Joint Movement Detection and Correction in Frozen Shoulder Therapy Using Sensor-Based Shoulder Rehabilitation Devices

Frozen shoulder, or adhesive capsulitis, is a common musculoskeletal disorder characterized by progressive pain, stiffness, and restricted range of motion that significantly impairs functional ability and quality of life.

Frozen Shoulder, Adhesive Capsulitis, Artificial Intelligence, Sensor-Based Rehabilitation, Real-Time Motion Detection,

Metabolic Syndrome in Psoriatic Patients: A Cross-Sectional Study

Psoriasis is a chronic immuno-inflammatory disease affecting the skin and joints. Studies have demonstrated an increased prevalence of conventional cardiovascular risk factors such as diabetes mellitus, hypertension, and metabolic syndrome in these patients.

Cardiovascular risk factors, dyslipidemia, inflammatory mediators, insulin resistance, metabolic syndrome, psoriasis

Comparison of Postoperative Nausea and Vomiting (PONV) Rates in Opioid-Free Anesthesia Protocols Versus Traditional Regimens with Varying Plane Block Techniques

Postoperative nausea and vomiting (PONV) continue to be important adverse effects that negatively influence patient recovery and satisfaction following surgery.

Erector spinae plane block, laparoscopic surgery, opioid-free anesthesia, postoperative nausea and vomiting, regional anesthesia, rescue antiemetics, transversus abdominis plane block

Medical Tourism in India: Analyzing Benefits, Risks, and Regional Trends

India’s medical tourism industry has emerged as a global hub, generating approximately US$9 billion annually and attracting over 2 million patients seeking cost-effective, high-quality treatments and wellness therapies.

Cost-effectiveness, holistic care, medical tourism, patient experience, regional differences

Concurrent Acute Fatty LIVER of Pregnancy, Acute Hepatitis, And Viral Meningitis in An Advanced Maternal Age Pregnancy a Rare Triple Presentation

Acute fatty liver of pregnancy (AFLP) is a sometimes lethal, but very seldom, chronic hepatic disease during late pregnancy.

Acute fatty liver of pregnancy, acute viral hepatitis, AFLP, cytomegalovirus infection, herpes simplex virus, pregnancy-related liver disease

A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection

Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high.

Breast Cancer Detection, Transfer Learning, Deep Learning, DenseNet121, ResNet50, Medical Image Analysis, Computer-Aided Diagnosis (CAD)

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