Search
83 articles for “Diabetic clinic”
-
Role of Herbal Medicines in the Management of Diabetes
Abstract: Diabetes mellitus is a condition marked by elevated blood sugar levels, alterations in the metabolism of lipids, carbohydrates, and proteins, and over time, it can lead to complications affecting the eyes, kidneys, cardiovascular system, and neurological functions Many plants from throughout the world have been investigated for their potential to prevent diabetes. This review article aims to highlight some key medicinal plants with blood sugar-lowering effects supported by credible clinical …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 1, 2026 · pp. 29–38 Read article
-
Knowledge and Practice of Self-Administration of Insulin Injections among Diabetic Patients
Abstract: High blood glucose levels are a hallmark of diabetes mellitus, a chronic and crippling illness. According to estimates from the World Health Organization (WHO), 530 million persons globally have diabetes. Diabetes management requires education, and educating patients how to administer insulin injections on their own can give them the power to take charge of their health. The purpose of this study was to evaluate diabetic patients who visited the diabetes …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 29–33 Read article
-
Collaborative Care for Diabetic Retinopathy: Integrating Artificial Intelligence and Clinical Pharmacy Services - A Comprehensive Review
Abstract: Background: Diabetic retinopathy (DR) remains the leading cause of blindness among working-age adults globally, affecting approximately 103 million people worldwide. The integration of artificial intelligence (AI) technologies with clinical pharmacy services presents unprecedented opportunities to enhance screening, diagnosis, and management of DR through collaborative care models. Objective: This comprehensive review examines the current landscape of collaborative care approaches for diabetic retinopathy management, focusing on the integration of AI-powered diagnostic tools …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 118–128 Read article
-
A Study to Assess the Add-on Impact of Ayurvedic Management along with Ongoing Conventional Treatment of Diabetes Mellitus: A Randomized Clinical Trial
Abstract: Diabetes affects millions and thus is a major public health disease among with adults aged 30+. Available treatment although helps but many develop other side effects to complicate the issue. Ayurveda offers options to manage diabetes without complications. Present study is to see the add-on effect of Ayurveda therapy among persons on modern medicines. Ayurveda D4 combination is Jamunbeej and Gudmarpatra 5 gm churna each before breakfast and dinner and …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy Read article
-
Emerging Therapies for Diabetes Mellitus: Efficacy and Safety of USFDA-Approved Drugs and Late-Stage Clinical Trials
Abstract: This review provides a comprehensive analysis of drugs approved by the U.S. Food and Drug Administration (USFDA) for managing diabetes mellitus (DM) from 2013 to 2022, including emerging treatments from phase 3 clinical trials during this period. Over the past decade, the treatment landscape for diabetes has evolved significantly, with new therapies not only improving blood sugar control but also targeting broader health outcomes like heart and kidney health. In …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 2, 2025 · pp. 11–23 Read article
-
Clinical metabolomics: Useful insights, perspectives, and challenges.
Abstract: Metabolomics provides a comprehensive snapshot of smallmolecule intermediates and end products of cellular processes and thereby links genotype, environment, and phenotype in human disease . Over the last decade, advances in liquid chromatography–mass spectrometry (LC–MS) and nuclear magnetic resonance (NMR) spectroscopy have enabled high-throughput profiling of thousands of metabolites from microliter volumes of clinical samples . Clinical metabolomics is now emerging as a tool for disease diagnosis, risk prediction, therapeutic …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 1, 2026 · pp. 29–37 Read article
-
Marine-Derived Pharmaceuticals: Unlocking the Ocean's Potential for Human Health
Abstract: The ocean, covering 70% of the Earth’s surface, is a rich source of unique bioactive compounds with potential therapeutic applications. This review aims to highlight the significance of marine-derived pharmaceuticals in human health, focusing on clinically approved and commercially available medications. The review covers various marine-derived compounds, their structural features, modes of action, and applications in treating diseases, such as cancer, diabetes, and neurodegenerative disorders. The review identifies several marine-derived …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 1, 2025 · pp. 1–12 Read article
-
GLP-1 Receptor Agonists: A Dual Therapeutic Strategy for the Management of Type 2 Diabetes Mellitus and Obesity
Abstract: For the treatment of obesity and type 2 diabetes mellitus (T2DM), glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have become a revolutionary class of pharmaceutical drugs. These drugs were first created as glucose-lowering treatments, but they have now shown other advantages, such as notable weight loss, better cardiovascular results, and general metabolic control. The objective of this narrative review is to assess the pharmacological mechanisms, clinical efficacy, safety profile, and therapeutic …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 69–75 Read article
-
Anti-hyperglycemia Effects of Plant Secondary Metabolites Towards PKA/CREB Pathway Activation in Diabesity
Abstract: Objective: Diabesity, the amalgamation of diabetes and obesity, presents a significant global health challenge. This research carefully examines how plant secondary metabolites influence glucose regulation in diabetes using the PKA/CREB pathway, paying particular attention to diabesity—the combination of diabetes and obesity. Understanding the complex ways in which these metabolites affect metabolic health will help to identify new treatment approaches for managing diabetes and its associated problems. By conducting a thorough …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 33–50 Read article
-
The Therapeutic Potential of Nutraceutical in Diabetes Management: A Comprehensive Review
Abstract: Diabetes is a long-term and complex condition characterized by high blood sugar levels resulting from inadequate insulin production, ineffective insulin function, or a combination of both. Various nutraceuticals used in clinical settings have shown beneficial impacts on a range of biochemical and clinical markers related to diabetes. In many traditional medical systems, hypoglycemic agents derived from plants are used to treat, manage, and prevent diabetes mellitus. These plant extracts have …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 1, 2025 · pp. 20–27 Read article
-
Flaxseed and Diabetes Management: A Comprehensive Review of Recent Studies and Potential Mechanisms
Abstract: Diabetes mellitus, a condition characterized by chronic hyperglycemia, has become a significant global health challenge, leading to substantial morbidity and mortality rates. Dietary techniques are crucial for the effective control of diabetes, including both pharmaceutical and non-pharmacological therapies. Flaxseed (Linum usitatissimum) is one of the functional foods that has attracted a lot of interest because of its abundance of bioactive components, including lignans, dietary fiber, and alpha-linolenic acid (ALA). The …
Published in International Journal of Nutritions · Vol. 2, Issue 1, 2025 · pp. 24–32 Read article
-
Diabetes Risk & Al Nutrition Assistant
Abstract: The rising prevalence of diabetes mellitus has emerged as a major global health challenge. Early identification of individuals at risk, combined with personalized lifestyle-based interventions, can significantly reduce future complications. This study presents an AI-driven Nutrition Assistant integrated with a Diabetes Risk Prediction model. The system uses a machine learning classification approach to estimate the likelihood of diabetes based on clinical and nutritional factors, including body mass index, glucose levels, …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 31–38 Read article
-
AI-Based Early Diagnosis & Prevention of Diabetes
Abstract: The worldwide burden of Diabetes Mellitus, especially Type 2 diabetes (T2D) has escalated to a critical level. Early detection of diabetes is essential to reduce long‑term complications and healthcare costs. This study explores the use of artificial intelligence (AI) techniques to improve the early diagnosis and prevention of diabetes. We developed an AI model using the Random Forest algorithm, the model predicts diabetes risk based on clinical and lifestyle variables …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
-
Rethinking Type-1 Diabetes Treatment: Emerging Medicines Based on AAT Therapy and C-peptide Preservation Therapy
Abstract: The increasing number of cases, especially in the younger age group, along with the lack of accessible clinical solutions, make Type-1 Diabetes (T1D) a growing global health concern. While gene therapy and transplantation approaches are promising avenues, their excessively high costs and logistical difficulties make them inaccessible to the majority and can impose a financial burden on those suffering from it, adding to the challenges already faced by these advanced …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 19–29 Read article
-
Diabetes Prediction Using ML Techniques
Abstract: Diabetes mellitus, commonly referred to as diabetes, denotes a cluster of prevalent endocrine disorders characterized by persistent elevated levels of blood sugar. Diabetes is classified into two main types: type 1 and type 2. Type 1 diabetes arises when the body is unable to produce insulin, while type 2 diabetes involves either insulin resistance or insufficient insulin production. Early detection and intervention are essential to reduce its harmful impacts. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
-
Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
-
A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
-
Enhanced Diabetes Prediction: A Comparative Study of Machine Learning Models
Abstract: Excessively high blood glucose levels lead to diabetes, a condition that can be better managed with early detection, resulting in a longer life and improved health. Machine learning models are essential tools in diagnosing diabetes, especially when trained on appropriate and relevant datasets. In this study, a combination of ensemble methods and nine distinct machine learning algorithms were utilized to develop a predictive model for diabetes diagnosis based on a …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
-
Gut Microbiome Dysbiosis During Metabolic Disorders: Diabetes
Abstract: Understanding the intricate interplay between gut microbiome dysbiosis and diabetes is crucial due to the escalating prevalence and impact of diabetes mellitus globally. This comprehensive review examines the current understanding of this relationship, elucidating how alterations in the gut microbiome composition contribute to diabetes pathogenesis by influencing metabolic homeostasis, immune regulation, and insulin resistance. Dysregulation of gut microbial communities leads to shifts in diversity and abundance, exacerbating chronic low-grade inflammation …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 56–75 Read article
-
A Review of Drug Design Techniques Assisted by Computers to Combat Diabetes
Abstract: Diabetes mellitus is a global health concern characterized by chronic hyperglycemia and associated complications. The creation of innovative medicines with enhanced efficacy and safety profiles continues to be a top focus, notwithstanding improvements in treatment. A useful method in drug development, computer-aided drug design (CADD) makes it easier to identify possible therapeutic candidates and optimise lead molecules. An extensive synopsis of CADD tactics used in the fight against diabetes is …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 1–10 Read article