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256 articles for “app-based interventions”
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Overcoming Obstacles to an HIV-1 Cure: Advances in Genome Editing, Immune System Reprogramming, and Viral Reservoir Elimination
Abstract: Human immunodeficiency virus type-1 (HIV-1) continues to represent a major global health challenge despite the remarkable success of antiretroviral therapy (ART). Although ART effectively suppresses viral replication and prolongs survival, it cannot eradicate the virus due to the persistence of long-lived latent reservoirs. In recent years, innovative therapeutic strategies have been explored with the aim of achieving either a functional remission or complete viral elimination. Advances in genome-editing technologies, particularly …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
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Advanced Irrigation System
Abstract: Advanced Irrigation System is an innovative agricultural technology designed to improve water management, increase crop productivity, and reduce human effort in farming. Conventional irrigation practices frequently lead to inefficient water use, non-uniform irrigation coverage, and unnecessary wastage of water resources. To overcome these limitations, an intelligent irrigation system has been developed by incorporating advanced technologies, including soil moisture sensors, temperature and humidity sensors, water level monitoring devices, Internet of Things …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 2, 2026 · pp. 38–44 Read article
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An Integrative Review of Male Sexual Disorders and the Therapeutic Role of Unani Aphrodisiacs
Abstract: Sexual health is a vital component of overall well-being, encompassing physical, emotional, and psychosocial dimensions. Male sexual dysfunction – including conditions, like erectile dysfunction, premature ejaculation, and low libido – can significantly impact quality of life and intimate relationships. Aphrodisiacs, derived from the Greek goddess Aphrodite, are substances that stimulate sexual desire and performance. Historically, natural aphrodisiacs have been used in various cultures and include plant-based substances such as Yohimbine, …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 3, 2025 · pp. 8–15 Read article
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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article
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Treatment Approaches in Intracranial Hypertension: A Review
Abstract: Intracranial hypertension is considered, when intracranial pressure (ICP) increases above 20 mmHg for a period of more than 5 min. A persistent rise in ICP produces compression effect over cerebral vasculature and reduces cerebral blood flow (CBF) and cerebral perfusion pressure (CPP). It results in brain stem compression and herniation, if left untreated. A systematic assessment of clinical status, serial and continuous monitoring of vital parameters and evidence based therapeutic …
Published in Journal of Nursing Science & Practice · Vol. 6, Issue 3, 2016 · pp. 10–19 Read article
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Mathematical Models for COVID-19 Pandemic: A Comparative Analysis
Abstract: The COVID-19 pandemic has really underlined the importance of mathematical modeling in understanding disease-spread dynamics and especially informing public health interventions. The paper aims to provide a comprehensive comparative analysis of various mathematical models used for COVID-19 studies, with a focus on assumptions underlying those models, strengths, and also the limitations in their applications as well as special focus is given to compartmental models, agent-based models, machine learning-enhanced models, and …
Published in Recent Trends in Mathematics · Vol. 1, Issue 1, 2024 · pp. 42–53 Read article
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Severe Myoclonic Epilepsy with Crouch Gait in a 10-year-old Male Child: Single Case Report Study
Abstract: The aim of the present study was to characterize changes in gait dysfunction by patients with severe myoclonic epilepsy (SME). Case description with a 10-year-old male child presented with crouch gait, with signs of pyramidal tract involvement, ataxia, and seizures for 10 years duration. The child, born to non-consanguineously married parents presented with seizures. Birth history was normal; based on the history and examination, a clinical diagnosis of epileptic syndrome …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 2, 2018 · pp. 1–5 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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An Evidence Based Analytical Study on Capability of ChatGPT in Advanced AI Based Patient Drug Counseling
Abstract: The application of ChatGPT in providing drug counseling to patients offers the best approach to enhancing policies of healthcare support in decision-making. Aim and Objectives: The present study mainly involves an evaluation of the capability of ChatGPT in the management of drug counseling among patients suffering from various metabolic disorders. Methodology: The present study was a community-based interventional study conducted for a period of 12 months from October 2023 to …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 8–13 Read article
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Intergenerational Trauma and Cultural Resilience: Exploring the Impact of Family Norms on Mental Health Disclosure
Abstract: This comprehensive review examines how intergenerational trauma and cultural resilience influence individuals' choices to disclose or conceal their mental health challenges in family contexts. This paper utilizes 50 peer-reviewed studies out of 80 in total from various cultural contexts, this paper explores how family norms, especially in collectivist cultures, impact the disclosure of mental health issues. This review paper uses a thematic analysis strategy, systematically integrating qualitative, quantitative, and mixed-method …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 53–58 Read article
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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
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Knowledge, Attitude and Practices of Infant and Young Child Feeding among Mothers/Caregivers Tigray, Ethiopia
Abstract: Background: Foetal life and early childhood years are the phases when growth and development are maximum, coinciding with a period of great vulnerability to sub-optimal environment. Nutrition during the entire life cycle is a key driver of growth and development. Children <2 years are the most vulnerable segment of the community. Appropriate evidence-based feeding practices are essential for attaining and maintaining proper nutrition and health. Objective: The aim of the …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 29–40 Read article
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Management of Varicose Veins: A Review of Literature
Abstract: Lower extremities venous insufficiency is a frequent disorder that can cause a variety of symptoms, such as ulceration, soreness, swelling, and bulging leg veins. Whereas there is many other treatment choices, the more recent endovascular treatments are simple, safe, rapid, and very effective at reducing symptoms. Foam sclerotherapy, thermal ablation, and mechanical chemical ablation are minimally invasive endovascular techniques commonly used in the treatment of varicose veins. This review article …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 1, 2025 · pp. 17–21 Read article
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Effect of Soya bean Intervention on Lipid Profile of 40–60 Year Female Undergoing Coronary Intervention
Abstract: Diet and life style choices are major factors contributing to the risk of CAD which is responsible for more deaths in the whole world. It is well known that the modification on lipid concentration is a useful approach to decrease CAD mortality. Soybean contains lean vegetable protein, fibre and bioactive substance—Isoflavone. So it has got attention as cardio protective substance. Isoflavones may have lipid independent coronary benefits, such as enhancing …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 80s–86s Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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A Comparative Study of Deep Learning Methods for Depression Detection in Social Media Data
Abstract: With the rise of social media platforms like Twitter, Reddit, and Facebook, individuals increasingly share personal information about their moods, behaviors, and mental states. This trend provides a unique opportunity to leverage large-scale textual data for understanding and monitoring mental health conditions, particularly depression, a prevalent and challenging mental health issue. Traditional depression assessments are often confined to clinical environments and lack the capacity for real-time monitoring. In contrast, social …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 55–65 Read article
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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Recent Progress in Addressing Temporomandibular Joint Ankylosis
Abstract: TMJ ankylosis refers to the fusion of the mandibular condyle with the skull's base. Managing this condition is a formidable task due to technical complexities and a high recurrence rate.[1] Addressing temporomandibular ankylosis is a complex endeavor often resulting in reankylosis, relapse, risky complications, and necessitating multiple surgeries. This article introduces a treatment protocol for managing temporomandibular joint ankylosis, emphasizing early intervention using modern treatment approaches." Temporomandibular joint (TMJ) ankylosis …
Published in Research and Reviews : Journal of Surgery · Vol. 12, Issue 2, 2023 Read article
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Evaluating Pain and Quality of Life Improvement in Endometriosis: A Prospective Interventional Study
Abstract: Background: World-wide about 10% of reproductive-age women affects with endometriosis, drastically reducing their quality of life. This study assessed the effectiveness of a combination medicinal and lifestyle intervention approach in controlling endometriosis-related pain and enhancing quality of life. Methods: A prospective interventional study was conducted with 350 women diagnosed with endometriosis between August 2022 to September 2024. Participants received a structured intervention combining hormonal therapy, pain management, and lifestyle modifications. …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 1, 2025 · pp. 38–45 Read article
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Childhood Obesity: From Determinants to Clinical Management strategies
Abstract: Childhood obesity is one of the major global health problems in whole world, with a dramatic increase in prevalence over the recent few decades. Obesity associated with very serious long term health complications and sometimes very serious complications, such as metabolic disorders, cardiovascular, neurological, renal and psychological disorders. There are various factors such as genetic, environmental, behavioural, and socio-economic factors are some key player in the pathogenesis of obesity. In …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 · pp. 45–53 Read article