Search
70 articles for “Healthcare card”
-
Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
-
AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy
Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 Read article
-
Therepi: A Replenishable Implanted Epicardial Reservoir
Abstract: The healthcare technology has been advancing at such a high pace which was not expected some years back. This paper is an attempt to introduce not so known, still existing and in-development phase, techniques which can revolutionize the healthcare industry in different domains. The recent technological development in coronary therapies have shown a great promise in restoring the abnormalities present in the heart after the patient experiences heart attack; certain …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 2, 2019 · pp. 12–16 Read article
-
Assessment of Comorbid Illness Among Patients with Chronic Kidney Disease at Selected Hospitals in Madurai
Abstract: Chronic kidney disease (CKD) is a comprehensive term encompassing kidney damage or a sustained reduction in the glomerular filtration rate over a period of three months or longer. CKD is linked to a diminished quality of life, heightened healthcare costs, and premature mortality. The main objective of this study was to identify the comorbid illnesses among the patient with chronic kidney disease and to associate the comorbid illness with their …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 2, 2023 · pp. 8–13 Read article
-
AI-Powered ECG Prediction System for Detecting Cardiovascular Disease
Abstract: The proposed AI-powered CardioSmart Analyzer, an electrocardiogram (ECG) prediction system, presents an innovative and scientifically rigorous approach to the real-time automated analysis of ECG signals for diagnosing various heart conditions. This research focused on building a predictive model to identify cardiovascular diseases (CVD) using ECG data. A dataset comprising 2,840 12-lead ECG recordings was gathered from medical facilities in Gazipur, Bangladesh, over the period from June to August 2024. The …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 51–85 Read article
-
Barg-e-Tulsi (Ocimum sanctum Linn.) in Unani Medicine: Bridging Classical Therapeutics with Contemporary Pharmacological Evidence
Abstract: In the Unani System of Medicine (USM), Barg-e-Tulsi (Ocimum sanctum Linn.), commonly known as Tulsi or Holy Basil, is a highly valued medicinal herb that has been extensively used for centuries in the prevention and treatment of various ailments. It occupies an important place in traditional Unani therapeutics due to its broad spectrum of medicinal properties and its effectiveness in managing respiratory, gastrointestinal, neurological, and infectious disorders. Classical Unani scholars …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2026 · pp. 20–29 Read article
-
A Comprehensive Review of Nutritional Supplements
Abstract: The role of nutrition and nutraceuticals in human health and disease, covering macronutrients, micronutrients, organic acids, trace and macro minerals, vitamins, and bioactive compounds. It outlines biochemical structures, dietary sources, metabolism, physiological functions, and deficiency states of carbohydrates, proteins and amino acids, and fats. Key organic acids, choline, and taurine are described for their metabolic and digestive roles. The document evaluates dietary supplements, functional foods, nutraceuticals, designer foods, and medicinal …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 1, 2026 · pp. 40–81 Read article
-
Digital Twins in Human Anatomy and Physiology Education: Current Status and Future Perspectives
Abstract: Digital Twin (DT) technology has emerged as a promising innovation in healthcare by creating dynamic virtual representations of physical systems through the integration of artificial intelligence (AI), computational modeling, real-time data, and advanced visualization technologies. Although DTs have been widely investigated in precision medicine and clinical decision-making, their application in Human Anatomy and Physiology (HAP) education remains in its early stages. This review aims to examine the current status, educational …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
-
Multifactorial Diseases Becoming the Epigenetic Factor for the Genz
Abstract: This comprehensive paper investigates the complex interplay between multifactorial diseases, particularly obesity and cardiovascular disease (CVD), and their relationship with epigenetic mechanisms, highlighting the transgenerational implications of these interactions. The multifaceted nature of obesity and CVD, involving genetic predisposition, environmental influences, and epigenetic modifications, underscores the intricate pathways contributing to disease susceptibility and progression. Drawing upon a synthesis of diverse research findings, the paper elucidates the critical role of genetic …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 1, 2024 · pp. 16–22 Read article
-
Optimizing Heart Disease Prediction: Comparative Analysis of Machine Learning Algorithm for Early Detection
Abstract: The expanding realm of data analysis holds considerable importance in healthcare, particularly in the medical sector where forecasting heart disease is considered a complex endeavor. Early prediction of serious health conditions can be the determining factor between survival and fatality, with heart disease being one such critical health issue. Over the past decade, the main reason for death has been heart disease. Heart disorders come in many different forms, and …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
-
Fungal-derived Nutraceuticals & Bioactive Compounds with Physiotherapeutic and Health- promoting Properties: A Comprehensive Review
Abstract: Fungal-derived nutraceuticals represent a rapidly expanding field in biomedical research, offering a rich source of bioactive compounds with diverse therapeutic applications. This comprehensive review examines the physiotherapeutic and health-promoting properties of fungal metabolites, including polysaccharides, terpenes, proteins, peptides, alkaloids, fatty acids, vitamins, and minerals. Fungi produce over 9,000 bioactive compounds from approximately 22,500 microbial metabolites, with less than 5% of the fungal kingdom explored [1] . The major bioactive constituents …
Published in International Journal of Fungi · Vol. 2, Issue 2, 2025 Read article
-
AI-Driven Precision Nutrition: Advancing Personalized Dietary Systems for Public Health Equity in Resource-Constrained Environments
Abstract: The dual burden of malnutrition and diet-related non-communicable diseases (NCDs) represents a growing global public health challenge, particularly in low- and middle-income countries. Traditional dietary guidelines are largely population-based and fail to account for individual variability in genetics, metabolism, lifestyle, and environmental exposure. This limitation has led to the emergence of precision nutrition, an evolving field that integrates biological data and computational intelligence to deliver personalized dietary recommendations. This paper …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
-
Unveiling Fairness: A Quest for Ethical Artificial Intelligence and Bias Mitigation
Abstract: Artificial intelligence (AI) systems have become ubiquitous across areas like finance, healthcare, employment, and criminal justice. However, they suffer from issues of unfair bias, lack of transparency, and broad ethical implications impacting vulnerable societal groups disproportionately. This paper reviews key challenges around AI ethics and bias while proposing data-driven guidelines mitigating such algorithmic harms through rigorous statistical testing, predictive modeling ensembles adjusting distortion vectors and AI audits by domain experts …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 28–31 Read article
-
Medical Tourism in India: Analyzing Benefits, Risks, and Regional Trends
Abstract: Background: 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. Objective: To evaluate the benefits, risks, and regional disparities in medical tourism experiences among patients and providers across five Indian states. Methods: A mixed-methods study was conducted involving 850 international patients and 150 healthcare providers. Quantitative data were gathered through structured …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–16 Read article
-
An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
-
A Study and Report on Impact of Clinical Pharmacy Services Over Indian Health Care System in the Management of Chronic Disorders/Diseases in Hospital
Abstract: The study aims to ensure safe, effective, economic, and patient friendly with the knowledge inputs of each professional practice. With the primary and secondary objectives being: to study the role of the clinical pharmacist/doctor of pharmacy professional in the management of chronic diseases/illness, minimise medication/prescription errors, minimise/prevent adverse drug reactions, all types of drug interactions, and unnecessary healthcare costs, reducing drug-related problems and to monitor drug therapy efficiently, attain desired …
Published in Research and Reviews: A Journal of Health Professions · Vol. 11, Issue 2, 2021 · pp. 46–82 Read article
-
Rapid-On-Tongue Delivery: A Review of ODT Technologies, Taste Masking and Compliance
Abstract: Orodispersible Tablets (ODTs), another name for Fast Dissolving Drug Delivery Systems (FDDS), are innovative drugs that dissolve in the mouth rapidly without requiring water. These will be especially helpful for kids, the elderly, and others who have difficulty swallowing ordinary tablets or capsules. Superdisintegrants are used in these pills to break down quickly in the mouth, while flavorings or sweeteners are used to cover up any harsh or unpleasant taste. …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 01–08 Read article
-
A Comprehensive review on phytomedicinal activity of chirchita (Achyranthes aspera): an Indian Rural Medicinal Plant
Abstract: Because it is used to treat many types of diseases. Native to India, Achyranthes aspera (Chirchita) has been used in rural medicine for generations.This review explores the phytomedicinal significance of Achyranthes aspera, focusing on its bioactive compounds and the pharmacological activities that support its use in treating various ailments. This plant is a useful tool in traditional and alternative medicine. Because it has anti-inflammatory properties Antioxidants Antibacterial, anticancer and liver …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 1, 2025 · pp. 74–85 Read article
-
Machine Learning Techniques for Early Detection of Heart Disease
Abstract: Cases of heart disease are increasing rapidly, thus it's important and concerning to be aware of any potential ailment beforehand. This diagnosis is a difficult task that must be completed fast and precisely. The primary goal of this study is to determine which patient, based on different medical features, has a higher chance of having heart disease. We created a heart disease prediction algorithm based on the patient's medical history …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 3, 2023 · pp. 16–21 Read article
-
Infrared Radiation: A Non-Invasive Approach to Cholesterol Measurement
Abstract: Cholesterol levels and Diabetes have become prevalent worldwide. People who are physically disabled or unresponsive need to have their glucose and cholesterol levels constantly checked because it is hard to get accurate readings through invasive procedures or blood samples. Based on the proposed model, Hyperglycemia and Cholesterol amounts might be found without touching or taking blood specimens. The Arduino UNO and basic infrared sensors are used to make this happen. …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 28–34 Read article