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404 articles for “anal disease”
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Detection and Classification of Alzheimer’s Disease Using Deep Learning Technique
Abstract: It is crucial that people with Alzheimer's disease (AD) receive a proper diagnosis to begin preventative action before irreparable brain damage develops. Most people who suffer from Alzheimer's disease (AD), a neurological condition that progresses, are older than 65. The area of interest (ROI) in the hippocampus has been extensively studied for several purposes, including neurological illness research, stress development monitoring, and memory function analysis. Moreover, a connection between Alzheimer's …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 15–20 Read article
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Beyond Generalized Treatment: The Future is Personalized Medicine
Abstract: Personalized medicine, which is also called as precision medicine, is reestablishing the view of new healthcare by replacing the traditional "one-size-fits-all" approach with individual therapies made according to a patients unique genomic organization, environment, and lifestyle. This article talks about the scientific foundation, important applications, ethical challenges, and the significant potential of personalized medicine in enhancing the clinical outcomes. From oncogenic and genetic disorders to chronic diseases, the addition of …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 Read article
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Clone-Specific Drug Delivery Systems: Targeted Approaches and Future Clinical Applications
Abstract: Clone-specific drug delivery systems represent a transformative frontier in personalized medicine, addressing the longstanding challenge of clonal heterogeneity within diseases such as cancer, infectious diseases, and autoimmune disorders. Traditional drug delivery platforms often fail to discriminate between pathogenic and healthy cells, leading to systemic toxicity and reduced therapeutic efficacy. In contrast, clone-specific systems aim to selectively target and eliminate disease-driving cellular clones based on unique molecular signatures, thereby improving treatment …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 21–29 Read article
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Skin Disease prediction and classification from dermoscopy images using Neural Network
Abstract: Skin diseases are among the most common health-related problems affecting people of all age groups, and their occurrence often varies with seasonal and environmental conditions. Delayed or incorrect diagnosis of skin disorders can lead to severe complications, making early and accurate detection extremely important for effective treatment and prevention. In recent years, rapid advancements in deep learning and neural network technologies have significantly contributed to the development of automated medical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Exploring the Therapeutic Potential of Grapeseed Phytoconstituent Through Molecular Docking Analysis for Multiple System Atrophy Treatment
Abstract: Objective: Alpha-synuclein (α-Syn) aggregates are a common neurodegenerative disorder associated with Parkinson’s disease and multiple system atrophy (MSA). As a fruit that is extensively grown, grapes have several pharmacological advantages when it comes to reducing oxidative stress. Research has indicated that grape seed phytoconstituents have a major effect on α-Syn. The objective of this study is to inquire into the pharmacological characteristics and potential therapeutic applications of grape seed derivatives …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 2, 2024 · pp. 14–26 Read article
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Unani Medicine Approaches To Liver Diseases :Therapeutic Principles and Review
Abstract: Background: For centuries, the Unani system of medicine has addressed liver diseases through principles that recommend specific therapies tailored to each ailment. Purpose: To analyze the therapeutic principles and Unani medications recorded for the treatment of liver diseases. Data Sources: Unani literary books in both Urdu and English were consulted, along with original e-research papers serving as databases. Limitation: This paper primarily focuses on the therapeutic principles related to liver …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 2, 2025 · pp. 25–29 Read article
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Evaluation of Temporal Distribution of Recurrent Cholera Outbreak in Zambia.
Abstract: Background: Cholera cases in Zambia have been observed over a period without understanding the epidemiological cycles. The aim of the study was to evaluate the temporal distribution of recurrent cholera outbreak in Zambia from 1977 to 2019. Methods: Cholera case records of both sex and all ages were retrospectively analyzed. The primary source documents were reviewed including infectious diseases line list, notifiable diseases reports, Health Impact Assessment, District Health Impact …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 10–21 Read article
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Application of Artificial Intelligence in Drug Discovery
Abstract: The application of artificial intelligence (AI) in medicine, especially through machine learning (ML), is revolutionizing new-age drug discovery research. AI is found as an efficient and powerful tool to narrow the gap between disease detection and developing and identifying potential therapeutic agents for a cure. This review provides a summary of the latest developments in AI and its potential application in drug discovery for untreatable diseases. The review also examines …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 3, 2025 · pp. 22–29 Read article
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Introduction to Biological Networks and their Contributions to Systems Biology
Abstract: Biological networks provide a conceptual framework to represent and analyze the intricate interconnections among the numerous components that make up living systems. This review paper elucidates the foundational principles of networks and their diverse applications in systems biology, highlighting their crucial role in understanding the inherent complexity of biological processes. Utilizing graph theory, these networks represent entities like genes, proteins, and metabolites as nodes, with their interactions depicted as edges. …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 53–70 Read article
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Lung Cancer Detection and Classification Using Deep Learning
Abstract: Lung cancer is a disease that can be effectively treated if detected early. Various technologies, such as magnetic resonance imaging, isotopes, X-rays, and computed tomography scans, are employed for diagnosis. One of the most crucial strategies in combating cancer is early detection, which greatly enhances a patient’s likelihood of survival; this is where artificial intelligence plays a significant role. The approach proposed in this study leverages historical medical data to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 11–17 Read article
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Drug Resistance – Challenges & Ayurveda Solutions – Review Study
Abstract: Antimicrobial resistance & anticancer medicine resistance has been the challenge to the medical fraternity. There are different theories postulated for developing medicine resistance, that has resulted in the debate regarding the efficacy of the medicine; there has been increasing concern as the time take for developing resistance is getting shorter and the time for development a molecule has remained constant or increasing. This resulted in medicinal resistance within few years …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 3, 2024 · pp. 13–16 Read article
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Assessment of Vitamin D Levels Among Hashimoto and Hypothyroidism Disease in Iraq, A Comparative Study
Abstract: The thyroid gland is a small gland that regulates the body’s metabolism. It secretes the hormones that the body needs to maintain this process. People of different ages may be afflicted with thyroid diseases, including Hashimoto disease and hypothyroidism. The current study aimed to compare the levels of vitamin D among patients with Hashimoto’s disease and hypothyroidism coming to the Diabetes and Endocrinology Center in Al-Sadr Medical City in Najaf …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 77–83 Read article
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Importance of inflammatory marker ratio and lipid profile ratio in Acute Ischemic Stroke
Abstract: Background: Acute Ischemic Stroke is a chronic inflammatory disease that is projected to be one of the leading causes of mortality affecting millions of people globally. It is essential to study the Platelet lymphocyte ratio (PLR), Neutrophil lymphocyte ratio (NLR) ratios and C reactive protein (CRP) in impacting the inflammatory status during stroke. It is also important that altered lipid metabolism could influence the inflammatory conditions associated with AIS. Hence …
Published in International Journal of Brain Sciences · Vol. 1, Issue 1, 2024 · pp. 19–31 Read article
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Intelligent Farming: Integrating AI and IoT for Sustainable Agriculture
Abstract: Artificial Intelligence (AI) and the Internet of Things (IoT) are transforming modern agriculture by enabling data-driven, resource-efficient, and climate-resilient farming practices. This review critically examines recent advances in AI-IoT integration across crop production, irrigation management, pest and disease surveillance, and supply chain optimization through an analysis of published literature and documented case studies. The review indicates that AI-assisted predictive analytics combined with IoT-based real-time sensing significantly improves decision-making in precision …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 Read article
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Rotenone effects on the human body with reference to neurological disorder
Abstract: It has been claimed that the well–known neurotoxic pesticide rotenone, which is known to block the mitochondrial complex I, is strongly linked to the pathophysiology and etiology of Parkinson's disease (PD) in humans. There have been numerous analyses in the past and are still being conducted to establish a relationship between the two in order to completely comprehend the level of harm brought on by rotenone. Numerous laboratory studies shown …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 1, 2025 · pp. 21–27 Read article
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Nymphaea lotus (Indian Lotus) Analysis with Genetic Algorithm
Abstract: There is a significant problem with the availability of medicinal plants for the treatment of various diseases. Nymphaea lotus (Indian lotus) is one such plant, which is primarily available in the Indian subcontinent. This paper investigates the analysis of this medicinal plant with the help of a genetic algorithm. Himalayan yew, false black pepper, Indian snakeroot, and Indian lotus are four medicinal plants. These four have some unique medicinal values, …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 18–22 Read article
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Computational Exploration of Bhrijraj-derived Phytochemicals as Potential Anti-inflammatory Agents: A Molecular Docking Study with Cyclooxygenase-II Complex
Abstract: The molecular docking analysis was meticulously conducted using state-of-the-art computational tools, notably Chimera and Python. These tools were employed to unravel the complex interactions between the identified phytochemicals from Bhrijraj and the target protein, COX-II. The 3D structures of the phytochemicals were prepared with precision using ChemSketch, ensuring accuracy in the subsequent molecular docking simulations. This rigorous approach enhances the reliability and validity of the findings. This research aims to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 1, 2024 · pp. 31–37 Read article
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Artificial Intelligence in Drug Repurposing: A Short Impact Assessment
Abstract: Artificial intelligence (AI) in pharmaceutical repurposing has become a game-changing tool that opens new avenues for the application of new drugs that have already been approved. Traditional drug discovery is a lengthy and expensive process, whereas AI can rapidly analyze vast datasets of biological, chemical, and clinical information to predict drug-disease interactions. AI-driven techniques, such as machine learning, natural language processing, and deep learning, enable the identification of potential repurposing …
Published in Trends in Drug Delivery · Vol. 11, Issue 3, 2024 · pp. 42–45 Read article
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Progress in the Chemistry of C-Glycosylation in Carbohydrates
Abstract: Glycosylation is an intricate biochemical process where a glycosyl donor and a glycosyl acceptor are combined to form a glycoside. This process involves the creation of new stereogenic centers at the anomeric site of the glycosyl donor, leading to the formation of a diverse array of products. By establishing glycosidic linkages, the synthesis of complex polysaccharides becomes possible, opening doors to the creation of analogues for further exploration of their …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 87–93 Read article
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Innovations in Healthcare IT for Enhanced Patient Outcomes
Abstract: Healthcare IT innovations are transforming medical services by enhancing diagnostics, improving patient management, and optimizing resource utilization. The integration of advanced technologies has led to significant improvements in healthcare delivery, enabling more accurate diagnoses, efficient treatments, and seamless data management. One of the most impactful advancements is Electronic Health Records (EHR), which facilitate centralized patient data storage, allowing healthcare providers to access and update records in real-time. Telemedicine has revolutionized …
Published in Current Trends in Information Technology · Vol. 15, Issue 2, 2025 · pp. 19–23 Read article