Search
829 articles for “disorders”
-
A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
-
A Community-Based Study to Assess the Impact of Pharmacist Led Home Medication Review in Patients with Diabetes Mellitus in Dakshina Kannada
Abstract: Diabetes mellitus is a chronic metabolic disorder with the condition where there is an abnormally high blood glucose level. Home medication review (HMR) is a patient-centered process that provides the effective and quality use of medication at the patient’s home. According to a study, nearly 50% of Type II diabetes fail to recite adequate glycemic control due to poor management of anti-diabetic medications. So, a community-based interventional study was conducted …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 29–34 Read article
-
A Review on Phytochemistry and Pharmacology of Macaranga peltata
Abstract: Macaranga peltata, categorized within the Euphorbiaceae family, represents a prevalent pioneer arboreal species across Southeast Asia, specifically in regions such as India and Sri Lanka. This review scrutinizes the phytochemical properties and pharmacological profiles of Macaranga peltata, underscoring both its historical medicinal applications and prospective therapeutic roles. The plant exhibits a rich composition of secondary metabolites, encompassing flavonoids, stilbenes, tannins, and terpenes, with the majority of these compounds being extracted …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 1, 2025 · pp. 50–59 Read article
-
A Case Study on Ayurvedic Management of Psoriasis (Ekakushtha)
Abstract: Psoriasis is a common chronic inflammatory skin condition characterized by red, scaly patches. In Ayurveda, such skin diseases fall under "Kushtha," divided into two categories: "Maha Kushtha," which includes more severe disorders with systemic effects, and "Kshudra Kushtha," encompassing less severe conditions like "Ekakushtha." The dominancy of Doshas in Ekakushtha is Vata and Kapha.In present case study, 26 years of old male patient was presented to the panchakarma OPD at …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 3, 2024 · pp. 5–12 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 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
-
MicroRNAs in Animal Behavior: Regulation of Memory and Decision-Making in Mammals
Abstract: MicroRNAs are small, non-coding RNA molecules that play a crucial role in post-transcriptional regulation of gene expression. In recent years, their significance has extended beyond cellular development and disease regulation, as emerging evidence suggests they are critical mediators in complex behavioral processes, including learning, memory, and decision-making. This article explores the role of miRNAs in regulating neural plasticity and cognitive functions in mammals, emphasizing their involvement in memory formation and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 3, 2024 · pp. 21–25 Read article
-
Recent Trends in Ocular Drug Delivery: Challenges and Approaches
Abstract: Drug topically regulation can be accessed most easily in the eye. When given topically as eye drops, medication ocular bioavailability is quite low. Drug entry into specific ocular locations is complicated by the complex anatomy and physiology of the human eye. Research has long been interested in the topical administration of successful treatments. To provide a suitable ocular penetration and extend the duration of drug residence is their challenging task. …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 3, 2024 · pp. 22–38 Read article
-
Computational Investigation of Withania somnifera Compounds Targeting S. pombe SMN YG-Dimerin Spinal Muscular Atrophy: Insights from Molecular Docking Analysis
Abstract: Objectives: The primary objective of this study is to determine the potential of phytochemical constituents of Withania somnifera in treating spinal muscular atrophy, an autosomal recessive genetic neurodegenerative disorder, through computational techniques. To investigate the binding affinity of phytocompound to the target protein S. pombe SMN YG-Dimer through molecular docking. Besides, evaluating the pharmacological attributes of phytochemical constituents to assess their ability as an ideal prospect for developing therapeutic medication. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 39–52 Read article
-
Targeting Vasopressin 2 Receptor (V2R) in Renal Cystogenesis by Exploring the Nephroprotective Potential of “Terminalia arjuna”
Abstract: Objectives: Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited kidney disorder, leading to the formation of multiple cysts in the kidneys. It is a major cause of end-stage renal disease (ESRD), which often requires dialysis or a kidney transplant for survival. This research focuses on identifying potential bioactive compounds derived from natural sources that show promise for drug development targeting the V2R gene. Methods: The naturally occurred …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 14–24 Read article
-
Stingless Honeybee’s Rare Sugar and PCSK 9 - LDLR Interaction, A New Hope for Hormone Dependent Breast Cancer Patients – An In-silico Study
Abstract: Hypercholesterolemia is a lipid disorder characterized by elevated levels of low-density lipoprotein (LDL), commonly known as "bad" cholesterol. This condition is a significant risk factor in the development and progression of hormone-dependent breast cancer, as well as in the emergence of resistance to hormonal therapy. One of the key regulators of cholesterol metabolism is the proprotein convertase subtilisin/kexin type-9 (PCSK9) protein, which facilitates the degradation of the LDL receptor (LDLR) …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
-
DYSLEXIA - A CORRELATIONAL STUDY BETWEEN BRAIN AND HYPOTHALAMUS THAT HOW THEY ARE AFFECTED IN DYSLEXIC CHILD
Abstract: The 'dyslexia dispute' is tenacious. A crucial component of the media argument is the belief that dyslexia does not exist, which has been popularized by a number of outspoken commentators. For them, dyslexia are the creation of excessively anxious parents, backed up by a clique of private educational psychologists eager to deliver a diagnostic - for a charge - even when no condition exists. Critiques of dyslexia can also be …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 28–36 Read article
-
Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article
-
Weight Loss Surgery Induced Telogen Effluvium (We Loss SITE) Management – Our Experiences
Abstract: Telogen effluvium, a condition of non-inflammatory, no-scarring, diffuse hair loss after weight loss surgery. A through history taking and videodermatoscopy is an effective tool for evaluation of a patient with weight loss surgery-induced teleogen effluvium (We Loss SITE). Cyclical nutritional therapy, low level laser therapy, autologous platelet rich plasma are effective treatments for telogen effluvium. This case report shares our experience in the management of a patient with weight loss …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
-
Multiple Disease Prediction Using Machine Learning Algorithms
Abstract: The incorporation of machine learning algorithms into healthcare has transformed disease prediction and diagnosis. This research introduces a method for predicting various diseases using machine learning techniques. A comprehensive dataset, consisting of patient records, medical histories, and key disease-related features, was utilized to build predictive models. Data preprocessing methods, including feature selection and normalization, were implemented to clean and prepare the dataset. Several machine learning algorithms, such as Decision Trees, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 34–38 Read article
-
Gut Feelings: Unravelling the Secrets of the Microbial Universe Within
Abstract: The human digestive system hosts a varied and dynamic community of microorganisms, commonly known as the gut microbiota. This complex community, which includes various organisms such as bacteria, archaea, viruses, and fungi, is essential and important for numerous bodily functions such as metabolism, immune response, and cognitive development. The composition and vast diversity of the gut microbiome are shaped by diet, lifestyle, and genetic factors. Disruptions in this balance, known …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 21–33 Read article
-
Targeting TNFSF4 in the Management of Systemic Lupus Erythematosus
Abstract: Systemic lupus erythematosus (SLE) is a multifaceted autoimmune disorder that remains a significant challenge for both healthcare providers and researchers. Despite advances in understanding its mechanisms, finding effective therapies is still difficult. This review highlights a potential therapeutic target in SLE research: tumor necrosis factor superfamily member 4 (TNFSF4), also referred to as OX40L. We explore how TNFSF4 contributes to SLE development, looking at its role in immune system regulation …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 6–14 Read article
-
Comprehensive Care in COPD: Integrating Non-Pharmacological Treatments in COPD
Abstract: The substantial worldwide respiratory disorder known as chronic obstructive pulmonary disease (COPD) calls for multifaceted care approaches in addition to medicines. The incorporation of alternatives to drugs into chronic pulmonary disease care is the main topic of this article, as it plays a crucial role in enhancing the lives of patients. Pulmonary rehabilitation, exercise training, nutritional support, psychological support, oxygen therapy, and surgical or interventional procedures are some of the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 · pp. 12–18 Read article
-
Non-Enzymatic Glycation in Alzheimer’s and Parkinson’s Disease: A Molecular Approach to Pathology and Recent Advances
Abstract: Non-enzymatic glycation, a biochemical process by which reducing sugars spontaneously bind to proteins, leads to the formation of advanced glycation end-products (AGEs), which have emerged as critical contributors to the pathogenesis of several neurodegenerative diseases, particularly Alzheimer’s disease (AD) and Parkinson’s disease (PD). The accumulation of AGEs can significantly alter protein structure, stability, and function, triggering a cascade of detrimental effects, including increased oxidative stress, heightened neuroinflammation, and the promotion …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 2, 2024 · pp. 36–41 Read article
-
Exploring Potential Phytochemicals for Myasthenia Gravis Treatment: A Molecular Docking and ADME Analysis Approach
Abstract: Objective: Muscle feebleness and exhaustion derived from a disruption in neuromuscular transference are hallmarks of the crippling autoimmune disease myasthenia gravis (MG). The drawbacks of the current MG therapy options are frequently partial efficacy and adverse effects. To investigate the potential of phytochemicals in MG control, in this work we integrated molecular docking with ADME (absorption, distribution, metabolism, and excretion) analysis using a computer method. We identified molecules exhibiting favorable …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 2, 2024 · pp. 1–13 Read article