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1968 articles for “rokitansky’s disease.”
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Jaundice: Etiology, Clinical Manifestations, Diagnosis, Management, Nursing Care, and Prevention
Abstract: Jaundice is a significant clinical condition marked by a yellow discoloration of the skin, sclera, and mucous membranes resulting from increased bilirubin levels in the bloodstream. Rather than being a disease itself, jaundice represents an underlying disorder involving the liver, biliary system, or hematological processes. Hyperbilirubinemia develops when there is excessive bilirubin production, impaired hepatic uptake, defective conjugation, or obstruction in bile excretion. Jaundice remains a major global health concern …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 32–39 Read article
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CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images
Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article
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Ebola Vaccination: From Outbreak Control to Global Preparedness
Abstract: Ebola virus disease (EVD) is one of the most dreadful and lethal viral infections, continuously generating threatening impacts on the health of the global population, especially in low-resource environments. This review provides an overview of Ebola vaccines, focusing on virology, vaccine development, clinical trials, regulatory approval, deployment plans, and ethical issues. Recombinant viral vector platforms have seen the development of successful vaccines, with the most prominent example being rVSV-ZEBOV, which …
Published in International Journal of Vaccines · Vol. 3, Issue 1, 2026 · pp. 27–37 Read article
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The future of global immunisation strategies: an examination of vaccines
Abstract: Vaccination is still one of the best ways to improve public health, but worldwide immunization plans are facing new scientific, societal, and logistical problems. This article looks at the future of global immunization programs by looking at present and new vaccine technology, delivery systems, and policy frameworks. It looks at new technologies including mRNA platforms, thermostable vaccines, and new ways to distribute vaccinations that could help more people get them …
Published in International Journal of Vaccines · Vol. 3, Issue 1, 2026 · pp. 9–14 Read article
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The Future is Bioengineered: Consequences, Directions, and Regulation
Abstract: Biotechnology is changing how people interact with health, life, and the environment very quickly. This article talks about how new tools in genetic engineering, synthetic biology, and bioinformatics are making it possible for scientists to build and change biological things with more accuracy than ever before. Biotechnology is changing several fields, from making personalised medical treatments and disease-resistant crops to making biofuels and materials that break down naturally. The talk …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 · pp. 40–49 Read article
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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
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Photonic Diagnostics: Harnessing Optical Sensing for Non-Invasive Assessment of Coronary Obstruction
Abstract: Cardiovascular diseases (CVDs) remain the leading cause of mortality globally, with coronary artery blockages primarily atherosclerosis representing a critical challenge. The gold standard for diagnosing coronary artery disease remains invasive coronary angiography, a procedure that, while precise, carries inherent patient risks, high costs, and logistical burdens. Optical sensors, leveraging the principles of light-tissue interaction, offer real-time, high-resolution insights into vascular health, paving the way for early detection of arterial stenoses …
Published in International Journal of Optical Innovations & Research · Vol. 4, Issue 1, 2026 · pp. 25–30 Read article
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Water Contamination, Sanitation Practices, and Public Health Risks: A Cross-Sectional Study
Abstract: Contaminated water remains one of the biggest obstacles to public health, especially in developing countries, partly due to a lack of sanitation systems and lack of knowledge about the dangers. This paper describes the causes of water resource contamination and the ways in which they are transmitted, the lack of knowledge of the public, and what can be done to make it less of a problem, including a cross-sectional study …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 21–32 Read article
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From Humours to Metabolism: An Integrative Review of Obesity Management in Unani Medicine
Abstract: Unani Medicine, a traditional complementary and alternative medicine (CAM) system, adopts a holistic, temperament-based approach to disease prevention and management. In classical Unani literature, obesity is described as Simān-e-Mufriṭ, a pathological condition arising from humoral imbalance, particularly the predominance of phlegm (Balgham) and derangement of temperament (Su’-e-Mizāj), most commonly of a cold and moist nature. This condition is attributed to a sedentary lifestyle, weakened digestive and metabolic faculties, and excessive …
Published in International Journal of Nutritions · Vol. 3, Issue 2, 2026 · pp. 10–25 Read article
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Advances in Photocatalytic Catalysts for Wastewater Treatment
Abstract: Water is a fundamental component of the life support system and is indispensable for the survival of all living organisms. Life cannot exist without water, and human societies depend on it for drinking, agriculture, industry, and sanitation. Water resources are increasingly under pressure in terms of both quality and availability, largely due to rapid industrial development, expanding urban areas, and rising population levels. These human-driven activities have played a major …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 · pp. 44–56 Read article
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Formulation and Evaluation of Golden Heart’s Tooth paste of Piper Betel
Abstract: Toothpaste is a multifunctional oral care product composed of abrasives, surfactants, fluoride-based anticaries agents, and pH buffers. Herbal toothpaste formulations have gained significant attention for the treatment of gingivitis, an inflammatory disease of the gums. Generally, toothpaste formulations maintain a pH range of 5–6 to ensure stability and compatibility with the oral environment. Traditional medicinal plants have long been used by communities for oral healthcare due to their antimicrobial and …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 2, 2026 · pp. 43–61 Read article
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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
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Unani Concepts of Brain Pathology: Humoral Mechanisms in Māddī Neurological Disorders
Abstract: Background: The Unani System of Medicine (USM) considers the brain (Dimāgh) as the principal organ of Quwā Nafsāniyya (psychic faculties), responsible for sensation, cognition, memory, movement, and emotional regulation. According to Unani principles, health is maintained through equilibrium of Mizāj (temperament) and Akhlāṭ (humours), whereas disease develops when this balance is disturbed. Among neurological disorders, Sū’-i-Mizāj Māddī Dimāgh refers to pathological conditions of the brain associated with the accumulation of …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 2, 2026 · pp. 21–29 Read article
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A Comprehensive Review on the Role of Antacids in the Management of Stomach Disorders
Abstract: Antacids are among the most widely used over-the-counter medications for the symptomatic management of acid-related gastrointestinal disorders, including dyspepsia, gastroesophageal reflux disease (GERD), gastritis, and peptic ulcer disease. These agents provide rapid relief by neutralizing gastric hydrochloric acid, thereby increasing intragastric pH and reducing mucosal irritation. In addition to their therapeutic benefits, the long-term and excessive use of antacids may be associated with adverse effects and toxicological concerns, including electrolyte …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 2, 2026 Read article
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RNA- Based Drug Delivery, Current Advances, Pharmaceutical Applications, and Future Perspectives
Abstract: RNA-based therapeutics have emerged as a transformative approach in modern medicine due to their ability to regulate gene expression with high specificity and precision. Advances in molecular biology, RNA chemistry, and nanotechnology have accelerated the development of diverse RNA modalities, including messenger RNA (mRNA), small interfering RNA (siRNA), microRNA (miRNA), antisense oligonucleotides (ASOs), and RNA aptamers. These therapeutics offer promising strategies for the treatment of cancer, genetic disorders, infectious diseases, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 · pp. 27–41 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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A Hybrid Mathematical Model for Epidemic Outbreak Forecasting Using Machine Learning and Cloud Computing
Abstract: The increasing frequency of infectious disease outbreaks has emphasized the necessity for intelligent epidemic surveillance systems capable of predicting disease spread at an early stage. Conventional outbreak detection approaches rely heavily on delayed statistical reporting and manual monitoring techniques, resulting in reduced responsiveness during critical periods. This paper presents a mathematical predictive framework for epidemic outbreak detection using machine learning and cloud computing technologies. The proposed framework integrates the Susceptible–Infected–Recovered …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 01–06 Read article
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Schizophenia – An Ayurvedic Review and Treatment – A Case study
Abstract: Schizophrenia is a complex, heterogeneous disorder. It is neuro developmental disorder characterized by problems with thinking (cognition),behavior- not focused on goals, negative symptoms, suicidal thoughts This means having a reduced or impaired ability to function normally and having noemotions(notmakingeyecontact,notchangingfacialexpressions,orspeakinginamonotone).Additionally, the person may lose interest in daily activities, withdraw from relationships, or be unable to sustain and reflection often associated with hearing or speech disorders, extreme confusion and associated functional impairments. …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 1, 2024 · pp. 40–48 Read article
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Development of an Arduino-Based Water Quality Monitoring System Using Turbidity Sensor
Abstract: Clean drinking water is essential for human health since dirty water can lead to serious diseases such as diarrhoea, cholera and typhoid and long-term diseases such as kidney damage, cancer and child development problems. Though hard water is less dangerous, it causes dry skin and kidney stones and saline water causes high blood pressure. The Water Quality Monitoring System exists as a solution against existing water safety issues. The system …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 26–31 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article