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1314 articles for “Medical”
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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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Automated Healthcare Support System with AI
Abstract: The Automated Healthcare Support System with Artificial Intelligence (AI) presents a smart and scalable digital solution aimed at improving the accessibility and efficiency of healthcare services. The system is designed to provide preliminary medical guidance, perform symptom-based analysis, and deliver health-related insights through an intuitive user interface. By enabling early identification of potential health conditions, it assists users in determining the necessity of professional medical consultation. The proposed platform utilizes …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Smart Wearable Health Pendant Using IoT and Machine Learning for Heart Rate Monitoring and Detecting Falls
Abstract: Cardiovascular illnesses and accidental falls frequently occur among individuals and at-risk populations. This is the reason we genuinely require a device that can monitor their well-being continuously. We are referring to a health pendant designed for seniors and groups at risk can wear. This health pendant leverages Internet of Things technology and machine learning to monitor heart rate and identify falls. Our health pendant system incorporates an ESP32 microcontroller, a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Smart Drug Delivery Using Nanorobots
Abstract: In recent years, the field of micro/nanorobot research has gained popularity. Because it can be used in targeted medication distribution, surgical procedures, disease detection, etc., it has enormous promise in medical therapy. Different from conventional medication delivery, which depends on blood flow to drug delivery to difficult-to-reach locations is made possible by the planned micro/nanorobots' ability to move independently. Micro/nanorobots were powered by either endogenous power (chemical reaction energy) or …
Published in Trends in Drug Delivery · Vol. 13, Issue 2, 2026 Read article
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Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images
Abstract: Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors. Manual analysis of brain tumor detection using MRI is a tedious task that requires expertise in the field. Therefore, this study proposes a deep learning-based approach for brain tumor detection and classification using Convolutional Neural Networks (CNN). The proposed approach preprocesses the MRI image using normalization, resizing, and noise …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article
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Gastro Retentive Drug Target System: Its Needs, Advantages, Limitation and Approaches
Abstract: Background: Gastro retentive drug delivery systems (GRDDS) address limitations of oral therapy for drugs with poor solubility, instability at intestinal pH, or narrow absorption windows by prolonging gastric residence and increasing contact with the gastric mucosa. Objectives: To review GRDDS approaches—floating systems, mucoadhesive systems, and super porous hydrogels—with emphasis on formulation strategies and polymer–excipient selection to enhance gastric retention, modulate buoyancy/swelling/adhesion, and ultimately improve oral bioavailability and therapeutic outcomes for …
Published in Trends in Drug Delivery · Vol. 13, Issue 2, 2026 Read article
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Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
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Novel 1,3,4-Thiadiazole Derivatives: Design, Synthesis, Characterization and Anticancer Evaluation – A Review
Abstract: Cancer remains one of the leading causes of mortality worldwide despite significant advances in diagnosis and treatment. The clinical usefulness of many anticancer drugs is often restricted by toxicity, poor selectivity, and the emergence of drug resistance. These limitations have encouraged the search for novel heterocyclic compounds with improved therapeutic efficacy and safety. Among these, the 1,3,4-thiadiazole scaffold has gained considerable attention because of its favorable physicochemical characteristics, metabolic stability, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 Read article
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Formulation Development and In Vitro Evaluations of Trimetazidine and Clopidogrel Bilayered Tablets
Abstract: The Bilayered tablets consisting of Trimetazidine SR as well as Clopidogrel IR were efficiently prepared by damp granulation technique as well as straight compression approach specifically. The prepared powdered mix (SR) were also preserved the physiochemical residential or commercial properties of tablet computers such as thickness, firmness, weight variant, friability and drug material. The enhanced formula consists of the average thickness of 3.1 ± 0.034, average firmness of 4.2 ± …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 8, Issue 3, 2023 · pp. 29–40 Read article
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Distinctive Approaches for Improving the Aqueous Solubility of BCS Class II Drugs
Abstract: The most difficult feature of many novel chemical entities is their solubility behaviour, as 60 percent of new promising products suffer solubility limitations. This is the most common reason for novel medicine compounds failing to reach the market or performing to their full potential. The proportion of the aqueous phase when the solution is in equilibrium with the pure substance in its normal phase is referred to as aqueous solubility. …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 8, Issue 3, 2023 · pp. 52–56 Read article
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Integrating Network Pharmacology and Molecular Docking to Assess Rutin’s Pharmacological Properties
Abstract: Objectives: In the present research, the network pharmacology process was applied to determine the underlying mechanism of the pharmacological properties of Rutin. Network pharmacology was utilized to reveal the interactions between medications and the targets of illnesses, and it is capable of completely articulating the complexity between diseases and medications. The identification of diverse drug-target interactions using network pharmacology may be utilized to discover novel medications for difficult conditions like …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 1, 2023 · pp. 20–33 Read article
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Melanogenic Inhibitory Effects of Sesamum indicum Phytocompounds Towards CDK 2, c-KIT, and BRAF.
Abstract: Objective: Melanoma is thought to be the fifth most frequent cancer in the US population, despite cancer being the most common cause of death in the globe. BRAF, CDK2, and c-KIT proteins are regarded as potential therapeutic agents since mutations in these proteins are the primary cause of melanoma. For the investigation of their pharmacological properties and therapeutic activities against the target proteins, Sesamum indicum L. and its phytocompounds were …
Published in International Journal of Bioinformatics and Computational Biology Read article
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Use of the Computer Statistics in Oncology
Abstract: Currently, the use of computer statistics and computer statistical modeling in oncology for obtaining an accurate diagnosis, determination of the choice of treatment method and its correction in the process of ongoing treatment, prediction of the outcome of the disease, and evaluation of the effectiveness of the chosen treatment tactics is a decisive factor. The use of computer statistics, based on an adapted scientific and statistical package of the SSP …
Published in Research & Reviews : Journal of Statistics Read article
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A review on antibacterial properties of eucalyptus oil and different eucalyptus species used in pharmaceuticals
Abstract: Medicinal plants with antimicrobial compounds play a crucial role in combating various pathogens. Eucalyptus, belonging to the myrtle family, is notable for its diverse antimicrobial compounds. This fast-growing plant thrives in many countries and its various parts offer significant medicinal value, including timber, pulpwood, and essential oils. The leaves, often considered forest harvesting waste, contain essential oils with potential medicinal benefits. Members of the genus Eucalyptus are highly valued for …
Published in International Journal of Antibiotics · Vol. 1, Issue 2, 2024 · pp. 10–19 Read article
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A Review on Nano-emulsion for Delivery of Anti-cancer Drugs
Abstract: Cancer disease is characterized by abnormal cell growth. Malignant growth treatments have progressed significantly, yet there is a requirement for development in particularity and feeling of dread toward foundational harmfulness. Nanotechnology is the reconciliation of nanoscience into medication by the utilization of nanoparticles. The appearance of nanoscience in disease conclusion and treatment will assist clinicians with better surveying and oversee patients and further develop the medical care framework and administrations …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 1, 2024 · pp. 7–13 Read article
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Assessment of Diuretic Activity of Hydroalcoholic Extract of Matricaria Chamomilla (Linn.) and Its Phytochemical Analysis with Emphasis on Toxicology
Abstract: While the traditional medicines are derived from medicinal plants, minerals and organic matter, the herbal drugs are prepared from medicinal plants only. This current research work will be very beneficial in figuring out the Matricaria chamomilla leaves extract diuretic effect by determining the ions and electrolyte excreted by the animals using ion selective channel inhibition. The phytochemical screening results revealed that the after which it was observed whether the alkaloids …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 1, 2024 · pp. 1–10 Read article
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A Case Study on Ayurvedic Management of Psoriasis.
Abstract: Psoriasis is non-contagious, chronic autoimmune disease which causes inflammation and hyper-proliferation of the skin. It is characterized by erythematous plaques that are clearly defined and associated with severe itching and silvery scaling, especially on extensor surfaces, scalp and nails. At times, it may manifest as localized or generalised pustular eruption which usually follows relapses and remissions pattern. Psoriasis may lead to other autoimmune diseases like psoriatic arthritis. In Ayurveda, Variety …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2024 · pp. 18–22 Read article
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Ulcerative Colitis- An Ayurvedic Review And Treatment – A Case Study
Abstract: Ulcerative colitis (UC) is a chronic autoimmune disease that causes inflammation and ulcers of the Large intestine. It is one of the most common GI disorder. Usually the pain affects only the intestinal mucosa and sub mucosa, causing small ulcers in the intestinal lining called ulcers. In most of patients, the disease begins from the anus and continues to spread. Its pathogenesis is multi factorial and includes genetic predisposition, epithelial …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2024 · pp. 31–39 Read article